Committing the correlation of student behavior and lecturer evaluation...

Committing the correlation of student behavior and lecturer evaluation components in the lecturer home page.

FirstApp/api.py

 from rest_framework.permissions import IsAuthenticated, IsAdminUser
 from rest_framework.authentication import SessionAuthentication, BasicAuthentication
 
+from MonitorLecturerApp.models import LectureRecordedVideo, LecturerVideoMetaData
+from MonitorLecturerApp.serializers import LectureRecordedVideoSerializer, LecturerVideoMetaDataSerializer
 from .MongoModels import *
 from rest_framework.views import *
 from .ImageOperations import saveImage
@@ -1270,4 +1272,179 @@ class GetLectureGazeSummary(APIView):
                 "frame_landmarks": frame_landmarks,
                 "frame_group_percentages": frame_group_percentages,
                 "gaze_labels": gaze_labels
-            })
\ No newline at end of file
+            })
+
+
+# =====OTHERS=====
+class GetLecturerRecordedVideo(APIView):
+
+    def get(self, request):
+        lecturer = request.query_params.get('lecturer')
+        subject = request.query_params.get('subject')
+        date = request.query_params.get('date')
+
+        # retrieve data
+        lec_recorded_video = LectureRecordedVideo.objects.filter(lecturer_id=lecturer, subject__subject_code=subject, lecturer_date=date)
+        lec_recorded_video_ser = LectureRecordedVideoSerializer(lec_recorded_video, many=True)
+        lec_recorded_video_data = lec_recorded_video_ser.data[0]
+
+        video_name = lec_recorded_video_data['lecture_video_name']
+
+        print('lecturer recorded video name: ', video_name)
+
+        return Response({
+            "video_name": video_name
+        })
+
+
+# this API will get lecture activity correlations
+class GetLectureActivityCorrelations(APIView):
+
+    def get(self, request):
+        option = request.query_params.get('option')
+        lecturer = request.query_params.get('lecturer')
+        int_option = int(option)
+
+        current_date = datetime.datetime.now().date()
+        option_date = datetime.timedelta(days=int_option)
+
+        previous_date = current_date - option_date
+
+        individual_lec_activities = []
+        activity_correlations = []
+
+        # retrieving lecture activities
+        lec_activity = LectureActivity.objects.filter(
+            lecture_video_id__date__gte=previous_date,
+            lecture_video_id__date__lte=current_date,
+            lecture_video_id__lecturer=lecturer
+        )
+
+        if len(lec_activity) > 0:
+            isRecordFound = True
+            activity_serializer = LectureActivitySerializer(lec_activity, many=True)
+            activity_data = activity_serializer.data
+            _, individual_lec_activities, _ = ar.get_student_activity_summary_for_period(activity_data)
+
+
+        # retrieving lecturer recorded activities
+        lec_recorded_activity = LecturerVideoMetaData.objects.filter(
+            lecturer_video_id__lecturer_date__gte=previous_date,
+            lecturer_video_id__lecturer_date__lte=current_date,
+            lecturer_video_id__lecturer=lecturer
+        )
+
+        if len(lec_recorded_activity) > 0:
+            lec_recorded_activity_ser = LecturerVideoMetaDataSerializer(lec_recorded_activity, many=True)
+            lec_recorded_activity_data = lec_recorded_activity_ser.data
+
+
+            activity_correlations = ar.get_activity_correlations(individual_lec_activities, lec_recorded_activity_data)
+
+
+        print('activity correlations: ', activity_correlations)
+
+        return Response({
+            "correlations": activity_correlations
+        })
+
+
+# this API will get lecture emotion correlations
+class GetLectureEmotionCorrelations(APIView):
+
+    def get(self, request):
+        option = request.query_params.get('option')
+        lecturer = request.query_params.get('lecturer')
+        int_option = int(option)
+
+        current_date = datetime.datetime.now().date()
+        option_date = datetime.timedelta(days=int_option)
+
+        previous_date = current_date - option_date
+
+        individual_lec_emotions = []
+        emotion_correlations = []
+
+        # retrieving lecture activities
+        lec_emotion = LectureEmotionReport.objects.filter(
+            lecture_video_id__date__gte=previous_date,
+            lecture_video_id__date__lte=current_date,
+            lecture_video_id__lecturer=lecturer
+        )
+
+        # if there are lecture emotions
+        if len(lec_emotion) > 0:
+            emotion_serializer = LectureEmotionSerializer(lec_emotion, many=True)
+            emotion_data = emotion_serializer.data
+            _, individual_lec_emotions, _ = ed.get_student_emotion_summary_for_period(emotion_data)
+
+
+        # retrieving lecturer recorded activities
+        lec_recorded_activity = LecturerVideoMetaData.objects.filter(
+            lecturer_video_id__lecturer_date__gte=previous_date,
+            lecturer_video_id__lecturer_date__lte=current_date,
+            lecturer_video_id__lecturer=lecturer
+        )
+
+        # if there are any recorded lectures
+        if len(lec_recorded_activity) > 0:
+            lec_recorded_activity_ser = LecturerVideoMetaDataSerializer(lec_recorded_activity, many=True)
+            lec_recorded_activity_data = lec_recorded_activity_ser.data
+
+            emotion_correlations = ed.get_emotion_correlations(individual_lec_emotions, lec_recorded_activity_data)
+
+
+        return Response({
+            "correlations": emotion_correlations
+        })
+
+
+# this API will get lecture gaze correlations
+class GetLectureGazeCorrelations(APIView):
+
+    def get(self, request):
+        option = request.query_params.get('option')
+        lecturer = request.query_params.get('lecturer')
+        int_option = int(option)
+
+
+        current_date = datetime.datetime.now().date()
+        option_date = datetime.timedelta(days=int_option)
+
+        previous_date = current_date - option_date
+
+        individual_lec_gaze = []
+        gaze_correlations = []
+
+        # retrieving lecture activities
+        lec_gaze = LectureGazeEstimation.objects.filter(
+            lecture_video_id__date__gte=previous_date,
+            lecture_video_id__date__lte=current_date,
+            lecture_video_id__lecturer=lecturer
+        )
+
+        # if there are gaze estimations
+        if len(lec_gaze) > 0:
+            gaze_serializer = LectureGazeEstimationSerializer(lec_gaze, many=True)
+            gaze_data = gaze_serializer.data
+            _, individual_lec_gaze, _ = hge.get_student_gaze_estimation_summary_for_period(gaze_data)
+
+        # retrieving lecturer recorded activities
+        lec_recorded_activity = LecturerVideoMetaData.objects.filter(
+            lecturer_video_id__lecturer_date__gte=previous_date,
+            lecturer_video_id__lecturer_date__lte=current_date,
+            lecturer_video_id__lecturer=lecturer
+        )
+
+        # if there are any recorded lectures
+        if len(lec_recorded_activity) > 0:
+            lec_recorded_activity_ser = LecturerVideoMetaDataSerializer(lec_recorded_activity, many=True)
+            lec_recorded_activity_data = lec_recorded_activity_ser.data
+
+            # find the correlations between lecture gaze estimations and recorded lecture
+            gaze_correlations = hge.get_gaze_correlations(individual_lec_gaze, lec_recorded_activity_data)
+
+
+        return Response({
+            "correlations": gaze_correlations
+        })

FirstApp/emotion_detector.py

@@ -11,12 +11,12 @@ from . models import VideoMeta
 from . logic import custom_sorter as cs
 from .logic import id_generator as ig
 from .logic import activity_recognition as ar
-
-
-# emotion recognition method
+from .logic import utilities as ut
 from .serializers import LectureEmotionSerializer
 
+import pandas as pd
 
+# emotion recognition method
 def emotion_recognition(classifier, face_classifier, image):
     label = ""
     class_labels = ['Angry', 'Happy', 'Neutral', 'Sad', 'Surprise']
@@ -686,3 +686,79 @@ def save_frame_groupings(video_name, frame_landmarks, frame_group_dict):
 
     # save
     new_lec_emotion_frame_groupings.save()
+
+
+# this method will get emotion correlations
+def get_emotion_correlations(individual_lec_emotions, lec_recorded_activity_data):
+    # this variable will be used to store the correlations
+    correlations = []
+
+    limit = 10
+
+    data_index = ['lecture-{}'.format(i + 1) for i in range(len(individual_lec_emotions))]
+
+    # student activity labels
+    student_emotion_labels = ['Happy', 'Sad', 'Angry', 'Surprise', 'Neutral']
+    lecturer_activity_labels = ['seated', 'standing', 'walking']
+
+    # lecturer recorded data list (lecturer)
+    sitting_perct_list = []
+    standing_perct_list = []
+    walking_perct_list = []
+
+    # lecture activity data list (student)
+    happy_perct_list = []
+    sad_perct_list = []
+    angry_perct_list = []
+    surprise_perct_list = []
+    neutral_perct_list = []
+
+
+    # loop through the lecturer recorded data (lecturer)
+    for data in lec_recorded_activity_data:
+        sitting_perct_list.append(int(data['seated_count']))
+        standing_perct_list.append(int(data['standing_count']))
+        walking_perct_list.append(int(data['walking_count']))
+
+    # loop through the lecturer recorded data (student)
+    for data in individual_lec_emotions:
+        happy_perct_list.append(int(data['happy_perct']))
+        sad_perct_list.append(int(data['sad_perct']))
+        angry_perct_list.append(int(data['angry_perct']))
+        surprise_perct_list.append(int(data['surprise_perct']))
+        neutral_perct_list.append(int(data['neutral_perct']))
+
+
+    corr_data = {'Happy': happy_perct_list, 'Sad': sad_perct_list, 'Angry': angry_perct_list, 'Surprise': surprise_perct_list, 'Neutral': neutral_perct_list,
+                 'seated': sitting_perct_list, 'standing': standing_perct_list, 'walking': walking_perct_list}
+
+    # create the dataframe
+    df = pd.DataFrame(corr_data, index=data_index)
+
+    # calculate the correlation
+    pd_series = ut.get_top_abs_correlations(df, limit)
+
+    print('====correlated variables=====')
+    print(pd_series)
+
+    for i in range(limit):
+        # this dictionary will get the pandas.Series object's  indices and values separately
+        corr_dict = {}
+
+        index = pd_series.index[i]
+
+        # check whether the first index is a student activity
+        isStudentEmotion = index[0] in student_emotion_labels
+        # check whether the second index is a lecturer activity
+        isLecturerAct = index[1] in lecturer_activity_labels
+
+        # if both are student and lecturer activities, add to the dictionary
+        if isStudentEmotion & isLecturerAct:
+            corr_dict['index'] = index
+            corr_dict['value'] = pd_series.values[i]
+
+            # append the dictionary to the 'correlations' list
+            correlations.append(corr_dict)
+
+    # return the list
+    return correlations

FirstApp/logic/activity_recognition.py

@@ -9,6 +9,9 @@ from .custom_sorter import *
 from ..MongoModels import *
 from ..serializers import *
 from . import id_generator as ig
+from . import utilities as ut
+
+import pandas as pd
 
 
 def activity_recognition(video_path):
@@ -849,3 +852,77 @@ def save_frame_groupings(video_name, frame_landmarks, frame_group_dict):
 
     # save
     new_lec_activity_frame_groupings.save()
+
+
+# this method will get activity correlations
+def get_activity_correlations(individual_lec_activities, lec_recorded_activity_data):
+
+    # this variable will be used to store the correlations
+    correlations = []
+
+    limit = 10
+
+    data_index = ['lecture-{}'.format(i+1)  for i in range(len(individual_lec_activities))]
+
+    # student activity labels
+    student_activity_labels = ['phone checking', 'listening', 'note taking']
+    lecturer_activity_labels = ['seated', 'standing', 'walking']
+
+    # lecturer recorded data list (lecturer)
+    sitting_perct_list = []
+    standing_perct_list = []
+    walking_perct_list = []
+
+    # lecture activity data list (student)
+    phone_perct_list = []
+    listen_perct_list = []
+    note_perct_list = []
+
+    # loop through the lecturer recorded data (lecturer)
+    for data in lec_recorded_activity_data:
+        sitting_perct_list.append(int(data['seated_count']))
+        standing_perct_list.append(int(data['standing_count']))
+        walking_perct_list.append(int(data['walking_count']))
+
+   # loop through the lecturer recorded data (student)
+    for data in individual_lec_activities:
+        phone_perct_list.append(int(data['phone_perct']))
+        listen_perct_list.append(int(data['listening_perct']))
+        note_perct_list.append(int(data['writing_perct']))
+
+
+    corr_data = {'phone checking': phone_perct_list, 'listening': listen_perct_list, 'note taking': note_perct_list,
+                         'seated': sitting_perct_list, 'standing': standing_perct_list, 'walking': walking_perct_list}
+
+    # create the dataframe
+    df = pd.DataFrame(corr_data, index=data_index)
+
+    # calculate the correlation
+    pd_series = ut.get_top_abs_correlations(df, limit)
+
+    print('====correlated variables=====')
+    print(pd_series)
+
+    for i in range(limit):
+        # this dictionary will get the pandas.Series object's  indices and values separately
+        corr_dict = {}
+
+        index = pd_series.index[i]
+
+        # check whether the first index is a student activity
+        isStudentAct = index[0] in student_activity_labels
+        # check whether the second index is a lecturer activity
+        isLecturerAct = index[1] in lecturer_activity_labels
+
+        # if both are student and lecturer activities, add to the doctionary
+        if isStudentAct & isLecturerAct:
+            corr_dict['index'] = index
+            corr_dict['value'] = pd_series.values[i]
+
+            # append the dictionary to the 'correlations' list
+            correlations.append(corr_dict)
+
+
+    # return the list
+    return correlations
+

FirstApp/logic/head_gaze_estimation.py

@@ -15,10 +15,12 @@ from . face_landmarks import get_landmark_model, detect_marks
 import os
 import shutil
 import math
+import pandas as pd
 
 from ..MongoModels import *
 from ..serializers import *
 from . import id_generator as ig
+from . import utilities as ut
 
 
 def get_2d_points(img, rotation_vector, translation_vector, camera_matrix, val):
@@ -964,3 +966,77 @@ def save_frame_groupings(video_name, frame_landmarks, frame_group_dict):
     # save
     new_lec_gaze_frame_groupings.save()
 
+
+# this method will get gaze estimation correlations
+def get_gaze_correlations(individual_lec_gaze, lec_recorded_activity_data):
+    # this variable will be used to store the correlations
+    correlations = []
+
+    limit = 10
+
+    data_index = ['lecture-{}'.format(i + 1) for i in range(len(individual_lec_gaze))]
+
+    # student gaze labels
+    student_gaze_labels = ['Up and Right', 'Up and Left', 'Down and Right', 'Down and Left', 'Front']
+    lecturer_activity_labels = ['seated', 'standing', 'walking']
+
+    # lecturer recorded data list (lecturer)
+    sitting_perct_list = []
+    standing_perct_list = []
+    walking_perct_list = []
+
+    # lecture activity data list (student)
+    upright_perct_list = []
+    upleft_perct_list = []
+    downright_perct_list = []
+    downleft_perct_list = []
+    front_perct_list = []
+
+    # loop through the lecturer recorded data (lecturer)
+    for data in lec_recorded_activity_data:
+        sitting_perct_list.append(int(data['seated_count']))
+        standing_perct_list.append(int(data['standing_count']))
+        walking_perct_list.append(int(data['walking_count']))
+
+    # loop through the lecturer recorded data (student)
+    for data in individual_lec_gaze:
+        upright_perct_list.append(int(data['looking_up_and_right_perct']))
+        upleft_perct_list.append(int(data['looking_up_and_left_perct']))
+        downright_perct_list.append(int(data['looking_down_and_right_perct']))
+        downleft_perct_list.append(int(data['looking_down_and_left_perct']))
+        front_perct_list.append(int(data['looking_front_perct']))
+
+    corr_data = {'Up and Right': upright_perct_list, 'Up and Left': upleft_perct_list, 'Down and Right': downright_perct_list,
+                 'Down and Left': downleft_perct_list, 'Front': front_perct_list,
+                 'seated': sitting_perct_list, 'standing': standing_perct_list, 'walking': walking_perct_list}
+
+    # create the dataframe
+    df = pd.DataFrame(corr_data, index=data_index)
+
+    # calculate the correlation
+    pd_series = ut.get_top_abs_correlations(df, limit)
+
+    print('====correlated variables=====')
+    print(pd_series)
+
+    for i in range(limit):
+        # this dictionary will get the pandas.Series object's  indices and values separately
+        corr_dict = {}
+
+        index = pd_series.index[i]
+
+        # check whether the first index is a student activity
+        isStudentGaze = index[0] in student_gaze_labels
+        # check whether the second index is a lecturer activity
+        isLecturerAct = index[1] in lecturer_activity_labels
+
+        # if both are student and lecturer activities, add to the dictionary
+        if isStudentGaze & isLecturerAct:
+            corr_dict['index'] = index
+            corr_dict['value'] = pd_series.values[i]
+
+            # append the dictionary to the 'correlations' list
+            correlations.append(corr_dict)
+
+    # return the list
+    return correlations

FirstApp/logic/utilities.py

+
+def get_redundant_pairs(df):
+    '''Get diagonal and lower triangular pairs of correlation matrix'''
+    pairs_to_drop = set()
+    cols = df.columns
+    for i in range(0, df.shape[1]):
+        for j in range(0, i+1):
+            pairs_to_drop.add((cols[i], cols[j]))
+    return pairs_to_drop
+
+def get_top_abs_correlations(df, n):
+    au_corr = df.corr().abs().unstack()
+    labels_to_drop = get_redundant_pairs(df)
+    au_corr = au_corr.drop(labels=labels_to_drop).sort_values(ascending=False)
+    return au_corr[0:n]

FirstApp/templates/FirstApp/Home.html

@@ -234,9 +234,9 @@
 
                 //fetch the video time landmark details
                 fetch('http://127.0.0.1:8000/get-lecture-video-summary-time-landmarks/?video_name=' + global_video_name)
-                .then((res) => res.json())
-                .then((out) => assignTimeLandmarks(out.response))
-                .catch((err) => alert('error: ' + err));
+                    .then((res) => res.json())
+                    .then((out) => assignTimeLandmarks(out.response))
+                    .catch((err) => alert('error: ' + err));
 
 
                 //display the progress bar area
@@ -251,7 +251,6 @@
             }
 
 
-
             //this function will handle the activity 'summary' button
             $('#activity_summary_btn').click(function (e) {
 
@@ -260,9 +259,9 @@
 
                 //fetch the activity summary details
                 fetch('http://127.0.0.1:8000/get-lecture-activity-summary/?video_name=' + global_video_name)
-                .then((res) => res.json())
-                .then((out) => activityFrameGroupPercentages(out, e))
-                .catch((err) => alert('error: ' + err));
+                    .then((res) => res.json())
+                    .then((out) => activityFrameGroupPercentages(out, e))
+                    .catch((err) => alert('error: ' + err));
 
 
             });
@@ -275,9 +274,9 @@
 
                 //fetch the activity summary details
                 fetch('http://127.0.0.1:8000/get-lecture-emotion-summary/?video_name=' + global_video_name)
-                .then((res) => res.json())
-                .then((out) => emotionFrameGroupPercentages(out, e))
-                .catch((err) => alert('error: ' + err));
+                    .then((res) => res.json())
+                    .then((out) => emotionFrameGroupPercentages(out, e))
+                    .catch((err) => alert('error: ' + err));
 
             });
 
@@ -288,13 +287,12 @@
 
                 //fetch the activity summary details
                 fetch('http://127.0.0.1:8000/get-lecture-gaze-summary/?video_name=' + global_video_name)
-                .then((res) => res.json())
-                .then((out) => gazeFrameGroupPercentages(out, e))
-                .catch((err) => alert('error: ' + err));
+                    .then((res) => res.json())
+                    .then((out) => gazeFrameGroupPercentages(out, e))
+                    .catch((err) => alert('error: ' + err));
             });
 
 
-
             //this function will handle the retrieved activity frame group percentages
             function activityFrameGroupPercentages(response, e) {
 
@@ -357,7 +355,6 @@
             }
 
 
-
             //this function will call the activity chart function
             function renderActivityChart(activity_labels) {
 
@@ -486,7 +483,6 @@
                 }
 
 
-
                 var chart = new CanvasJS.Chart("EmotionChartContainer", {
                     animationEnabled: true,
                     theme: "light2",
@@ -570,7 +566,6 @@
                 }
 
 
-
                 var chart = new CanvasJS.Chart("GazeChartContainer", {
                     animationEnabled: true,
                     theme: "light2",
@@ -609,7 +604,6 @@
             }
 
 
-
             //this function will render the chart for Activity statistics
             function renderActivityStatistics() {
 
@@ -626,7 +620,6 @@
                 ];
 
 
-
                 for (let i = 0; i < label_length; i++) {
 
                     let label = activity_labels[i];
@@ -634,7 +627,7 @@
 
                     for (let j = 0; j < activity_length; j++) {
                         let activity = individual_activities[j];
-                        datapoints.push({label: "lecture " + (j+1), y: activity[label]});
+                        datapoints.push({label: "lecture " + (j + 1), y: activity[label]});
                     }
 
 
@@ -644,7 +637,7 @@
                         name: label,
                         markerType: "square",
                         {#xValueFormatString: "DD MMM, YYYY",#}
-                        xValueFormatString: "lec " + (i+1),
+                        xValueFormatString: "lec " + (i + 1),
                         color: getRandomColor(),
                         dataPoints: datapoints
                     };
@@ -714,7 +707,7 @@
 
                     for (let j = 0; j < emotion_length; j++) {
                         let emotion = individual_emotions[j];
-                        datapoints.push({label: "lecture " + (j+1), y: emotion[label]});
+                        datapoints.push({label: "lecture " + (j + 1), y: emotion[label]});
                     }
 
                     let obj = {
@@ -723,7 +716,7 @@
                         name: label,
                         markerType: "square",
                         {#xValueFormatString: "DD MMM, YYYY",#}
-                        xValueFormatString: "Lec " + (i+1),
+                        xValueFormatString: "Lec " + (i + 1),
                         color: colors[i - 1],
                         dataPoints: datapoints
                     };
@@ -740,7 +733,7 @@
                     axisX: {
                         title: "Lecture",
                         {#valueFormatString: "DD MMM",#}
-                        valueFormatString: "lec" ,
+                        valueFormatString: "lec",
                         crosshair: {
                             enabled: true,
                             snapToDataPoint: true
@@ -792,7 +785,7 @@
 
                     for (let j = 0; j < gaze_estimation_length; j++) {
                         let gaze_estimation = individual_gaze_estimations[j];
-                        datapoints.push({label: "lecture " + (j+1), y: gaze_estimation[label]});
+                        datapoints.push({label: "lecture " + (j + 1), y: gaze_estimation[label]});
                     }
 
                     let obj = {
@@ -801,7 +794,7 @@
                         name: label,
                         markerType: "square",
                         {#xValueFormatString: "DD MMM, YYYY",#}
-                        xValueFormatString: "Lec " + (i+1),
+                        xValueFormatString: "Lec " + (i + 1),
                         color: colors[i - 1],
                         dataPoints: datapoints
                     };
@@ -818,7 +811,7 @@
                     axisX: {
                         title: "Lecture",
                         {#valueFormatString: "DD MMM",#}
-                        valueFormatString: "lec" ,
+                        valueFormatString: "lec",
                         crosshair: {
                             enabled: true,
                             snapToDataPoint: true
@@ -862,7 +855,7 @@
                 $('#student_behavior_view_summary_modal').modal();
 
 
-          });
+            });
 
             //this function will handle the view summary option form
             $('#view_summary_option_form').submit(function (e) {
@@ -968,6 +961,21 @@
             //this function will handle the advanced analysis for activity
             $('#activity_advanced_btn').click(function () {
                 $('#activity_advanced_modal').modal();
+
+                //enable the loader
+                $('#activity_corr_loader').attr('hidden', false);
+
+
+                let lecturer = "{{ lecturer }}";
+                let option = $("input[name='option']:checked").val();
+
+
+                //fetch the correlation data
+                fetch('http://127.0.0.1:8000/get-activity-correlations/?lecturer=' + lecturer + '&option=' + option)
+                    .then((res) => res.json())
+                    .then((out) => displayActivityCorrelations(out.correlations))
+                    .catch((err) => alert('error: ' + err));
+
             });
 
 
@@ -975,14 +983,210 @@
             $('#emotion_advanced_btn').click(function () {
                 $('#emotion_advanced_modal').modal();
 
+                //enable the loader
+                $('#emotion_corr_loader').attr('hidden', false);
+
+                let lecturer = "{{ lecturer }}";
+                let option = $("input[name='option']:checked").val();
+
+                //fetch the correlation data
+                fetch('http://127.0.0.1:8000/get-emotion-correlations/?lecturer=' + lecturer + "&option=" + option)
+                    .then((res) => res.json())
+                    .then((out) => displayEmotionCorrelations(out.correlations))
+                    .catch((err) => alert('err: ' + err));
+
             });
 
             //this function will handle the advanced analysis for gaze
             $('#gaze_advanced_btn').click(function () {
                 $('#gaze_advanced_modal').modal();
+
+                //enable the loader
+                $('#gaze_corr_loader').attr('hidden', false);
+
+
+                let lecturer = "{{ lecturer }}";
+                let option = $("input[name='option']:checked").val();
+
+                //fetch the correlation data
+                fetch('http://127.0.0.1:8000/get-gaze-correlations/?lecturer=' + lecturer + "&option=" + option)
+                    .then((res) => res.json())
+                    .then((out) => displayGazeCorrelations(out.correlations))
+                    .catch((err) => alert('err: ' + err));
+
             });
 
 
+            //this method will display the activity correlations in a table
+            function displayActivityCorrelations(correlations) {
+
+                let htmlString = "";
+
+                //create the html content for the activity correlation table
+                for (let i = 0; i < correlations.length; i++) {
+                    let corr = correlations[i];
+
+                    let indices = corr.index;
+                    let value = corr.value;
+                    value = Math.round(value * 100, 1);
+
+                    if (value <= 100 && value > 80) {
+                        htmlString += "<tr class='bg-success text-white'>";
+                    }
+                    else if (value <= 80 && value > 60) {
+                        htmlString += "<tr class='bg-primary text-white'>";
+                    }
+                    else if (value <= 60 && value > 40) {
+                        htmlString += "<tr class='bg-warning text-white'>";
+                    }
+                    else if (value <= 40 && value > 20) {
+                        htmlString += "<tr class='bg-danger text-white'>";
+                    }
+                    else if (value <= 20 && value > 0) {
+                        htmlString += "<tr class='bg-dark text-white'>";
+                    }
+
+                    //create a <tr> to be inserted
+                    htmlString += "<td>";
+                    htmlString += indices[0];
+                    htmlString += "</td>";
+                    htmlString += "<td>";
+                    htmlString += indices[1];
+                    htmlString += "</td>";
+                    htmlString += "<td>";
+                    htmlString += value;
+                    htmlString += "</td>";
+
+                    htmlString += "</tr>";
+
+                }
+
+                //append to the <tbody>
+                $('#activity_corr_tbody').append(htmlString);
+
+
+                //hide the loader
+                $('#activity_corr_loader').hide();
+
+                //show the table
+                $('#activity_corr_table').attr('hidden', false);
+
+            }
+
+            //this method will display the emotion correlations in a table
+            function displayEmotionCorrelations(correlations) {
+
+                let htmlString = "";
+
+                //create the html content for the activity correlation table
+                for (let i = 0; i < correlations.length; i++) {
+                    let corr = correlations[i];
+
+                    let indices = corr.index;
+                    let value = corr.value;
+                    value = Math.round(value * 100, 1);
+
+                    if (value <= 100 && value > 80) {
+                        htmlString += "<tr class='bg-success text-white'>";
+                    }
+                    else if (value <= 80 && value > 60) {
+                        htmlString += "<tr class='bg-primary text-white'>";
+                    }
+                    else if (value <= 60 && value > 40) {
+                        htmlString += "<tr class='bg-warning text-white'>";
+                    }
+                    else if (value <= 40 && value > 20) {
+                        htmlString += "<tr class='bg-danger text-white'>";
+                    }
+                    else if (value <= 20 && value > 0) {
+                        htmlString += "<tr class='bg-dark text-white'>";
+                    }
+
+                    //create a <tr> to be inserted
+                    htmlString += "<td>";
+                    htmlString += indices[0];
+                    htmlString += "</td>";
+                    htmlString += "<td>";
+                    htmlString += indices[1];
+                    htmlString += "</td>";
+                    htmlString += "<td>";
+                    htmlString += value;
+                    htmlString += "</td>";
+
+                    htmlString += "</tr>";
+
+                }
+
+                //append to the <tbody>
+                $('#emotion_corr_tbody').append(htmlString);
+
+
+                //hide the loader
+                $('#emotion_corr_loader').hide();
+
+                //show the table
+                $('#emotion_corr_table').attr('hidden', false);
+
+            }
+
+
+            //this method will display the activity correlations in a table
+            function displayGazeCorrelations(correlations) {
+
+                let htmlString = "";
+
+                //create the html content for the activity correlation table
+                for (let i = 0; i < correlations.length; i++) {
+                    let corr = correlations[i];
+
+                    let indices = corr.index;
+                    let value = corr.value;
+                    value = Math.round(value * 100, 1);
+
+                    if (value <= 100 && value > 80) {
+                        htmlString += "<tr class='bg-success text-white'>";
+                    }
+                    else if (value <= 80 && value > 60) {
+                        htmlString += "<tr class='bg-primary text-white'>";
+                    }
+                    else if (value <= 60 && value > 40) {
+                        htmlString += "<tr class='bg-warning text-white'>";
+                    }
+                    else if (value <= 40 && value > 20) {
+                        htmlString += "<tr class='bg-danger text-white'>";
+                    }
+                    else if (value <= 20 && value > 0) {
+                        htmlString += "<tr class='bg-dark text-white'>";
+                    }
+
+                    //create a <tr> to be inserted
+                    htmlString += "<td>";
+                    htmlString += indices[0];
+                    htmlString += "</td>";
+                    htmlString += "<td>";
+                    htmlString += indices[1];
+                    htmlString += "</td>";
+                    htmlString += "<td>";
+                    htmlString += value;
+                    htmlString += "</td>";
+
+                    htmlString += "</tr>";
+
+                }
+
+                //append to the <tbody>
+                $('#gaze_corr_tbody').append(htmlString);
+
+
+                //hide the loader
+                $('#gaze_corr_loader').hide();
+
+                //show the table
+                $('#gaze_corr_table').attr('hidden', false);
+
+            }
+
+
         });
 
     </script>
@@ -1207,6 +1411,13 @@
                                                     </button>
                                                 </div>
                                                 <!-- end of stats button -->
+
+                                                <!-- button to view advanced analysis -->
+                                                <button type="button" class="btn btn-danger float-right mr-2"
+                                                        id="activity_advanced_btn">
+                                                    Advanced Analysis
+                                                </button>
+                                                <!-- end of button to view advanced analysis -->
                                             </div>
                                         </div>
                                         <!-- end of Activity card -->
@@ -1282,6 +1493,14 @@
                                                     </button>
                                                 </div>
                                                 <!-- end of stats button -->
+
+
+                                                <!-- button to view advanced analysis -->
+                                                <button type="button" class="btn btn-danger float-right mr-2"
+                                                        id="emotion_advanced_btn">
+                                                    Advanced Analysis
+                                                </button>
+                                                <!-- end of button to view advanced analysis -->
                                             </div>
 
                                         </div>
@@ -1351,6 +1570,14 @@
                                                     </button>
                                                 </div>
                                                 <!-- end of stats button -->
+
+                                                <!-- button to view advanced analysis -->
+                                                <button type="button" class="btn btn-danger float-right mr-2"
+                                                        id="gaze_advanced_btn">
+                                                    Advanced Analysis
+                                                </button>
+                                                <!-- end of button to view advanced analysis -->
+
                                             </div>
 
                                         </div>
@@ -1418,18 +1645,13 @@
                                             <hr>
 
                                             <!-- button to view activity summary -->
-                                            <button type="button" class="btn btn-primary float-right" id="activity_summary_btn">
+                                            <button type="button" class="btn btn-primary float-right"
+                                                    id="activity_summary_btn">
                                                 Summary
                                             </button>
                                             <!-- end of button to view activity summary -->
 
 
-                                            <!-- button to view advanced analysis -->
-                                            <button type="button" class="btn btn-danger float-right mr-2" id="activity_advanced_btn">
-                                                Advanced Analysis
-                                            </button>
-                                            <!-- end of button to view advanced analysis -->
-
                                         </li>
                                         <!-- end of the activity list item -->
 
@@ -1495,19 +1717,13 @@
                                             <hr>
 
                                             <!-- button to view emotion summary -->
-                                            <button type="button" class="btn btn-primary float-right" id="emotion_summary_btn">
+                                            <button type="button" class="btn btn-primary float-right"
+                                                    id="emotion_summary_btn">
                                                 Summary
                                             </button>
                                             <!-- end of button to view emotion summary -->
 
 
-                                            <!-- button to view advanced analysis -->
-                                            <button type="button" class="btn btn-danger float-right mr-2" id="emotion_advanced_btn">
-                                                Advanced Analysis
-                                            </button>
-                                            <!-- end of button to view advanced analysis -->
-
-
                                         </li>
                                         <!-- end of the emotion list item -->
 
@@ -1548,7 +1764,8 @@
 
                                                 <span class="float-right" id="looking_down_right_perct">50%</span>
                                                 <div class="progress mb-4">
-                                                    <div class="progress-bar bg-success" role="progressbar" id="looking_down_right_width"
+                                                    <div class="progress-bar bg-success" role="progressbar"
+                                                         id="looking_down_right_width"
                                                          style="width: 60%"
                                                          aria-valuenow="60" aria-valuemin="0" aria-valuemax="100"></div>
                                                 </div>
@@ -1579,24 +1796,17 @@
 
 
                                             <!-- button to view gaze summary -->
-                                            <button type="button" class="btn btn-primary float-right" id="gaze_summary_btn">
+                                            <button type="button" class="btn btn-primary float-right"
+                                                    id="gaze_summary_btn">
                                                 Summary
                                             </button>
                                             <!-- end of button to view gaze summary -->
 
 
-                                            <!-- button to view advanced analysis -->
-                                            <button type="button" class="btn btn-danger float-right mr-2" id="gaze_advanced_btn">
-                                                Advanced Analysis
-                                            </button>
-                                            <!-- end of button to view advanced analysis -->
-
-
                                         </li>
                                         <!-- end of the gaze list item -->
 
 
-
                                     </ul>
 
 
@@ -1926,7 +2136,8 @@
                         </div>
 
                         <div class="custom-control custom-radio mt-2">
-                            <input type="radio" class="custom-control-input" id="customRadio3" name="option" value="10000">
+                            <input type="radio" class="custom-control-input" id="customRadio3" name="option"
+                                   value="10000">
                             <label class="custom-control-label" for="customRadio3">All</label>
                         </div>
 
@@ -1997,7 +2208,8 @@
 
 
     <!-- gaze estimation Modal-->
-    <div class="modal fade" id="gaze_estimation_stats_modal" tabindex="-1" role="dialog" aria-labelledby="exampleModalLabel"
+    <div class="modal fade" id="gaze_estimation_stats_modal" tabindex="-1" role="dialog"
+         aria-labelledby="exampleModalLabel"
          aria-hidden="true">
         <div class="modal-dialog" role="document" style="max-width: 1400px">
             <div class="modal-content">
@@ -2022,7 +2234,7 @@
     <!-- activity advanced analysis modal -->
     <div class="modal fade" id="activity_advanced_modal" tabindex="-1" role="dialog" aria-labelledby="exampleModalLabel"
          aria-hidden="true">
-        <div class="modal-dialog" role="document" style="max-width: 1400px">
+        <div class="modal-dialog" role="document" style="max-width: 700px">
             <div class="modal-content">
                 <div class="modal-header">
                     <h5 class="modal-title" id="exampleModalLabel">Activity Advanced Analysis</h5>
@@ -2031,7 +2243,29 @@
                     </button>
                 </div>
                 <div class="modal-body text-center">
-                    <p>Hello</p>
+                    <h3 class="font-weight-bold">Student Activity VS. Lecturer Activity</h3>
+
+                    <!-- ajax loader -->
+                    <div class="text-center" id="activity_corr_loader" hidden>
+                        <img src="{% static 'FirstApp/images/ajax-loader.gif' %}" alt="Loader">
+                    </div>
+
+                    <!-- correlation table -->
+                    <table class="table table-striped" id="activity_corr_table" hidden>
+                        <thead>
+                        <tr>
+                            <th>Student Activity</th>
+                            <th>Lecturer Activity</th>
+                            <th>Correlation Score</th>
+                        </tr>
+                        </thead>
+
+                        <tbody id="activity_corr_tbody">
+
+                        </tbody>
+                    </table>
+                    <!-- end of correlation table -->
+
                 </div>
                 <div class="modal-footer">
                     <button class="btn btn-secondary" type="button" data-dismiss="modal">Cancel</button>
@@ -2044,7 +2278,7 @@
     <!-- emotion advanced analysis modal -->
     <div class="modal fade" id="emotion_advanced_modal" tabindex="-1" role="dialog" aria-labelledby="exampleModalLabel"
          aria-hidden="true">
-        <div class="modal-dialog" role="document" style="max-width: 1400px">
+        <div class="modal-dialog" role="document" style="max-width: 700px">
             <div class="modal-content">
                 <div class="modal-header">
                     <h5 class="modal-title" id="exampleModalLabel">Emotion Advanced Analysis</h5>
@@ -2053,7 +2287,29 @@
                     </button>
                 </div>
                 <div class="modal-body text-center">
-                    <p>Hello</p>
+                    <h3 class="font-weight-bold">Student Emotions VS. Lecturer Activity</h3>
+
+                    <!-- ajax loader -->
+                    <div class="text-center" id="emotion_corr_loader" hidden>
+                        <img src="{% static 'FirstApp/images/ajax-loader.gif' %}" alt="Loader">
+                    </div>
+
+                    <!-- correlation table -->
+                    <table class="table table-striped" id="emotion_corr_table" hidden>
+                        <thead>
+                        <tr>
+                            <th>Student Emotion</th>
+                            <th>Lecturer Activity</th>
+                            <th>Correlation Score</th>
+                        </tr>
+                        </thead>
+
+                        <tbody id="emotion_corr_tbody">
+
+                        </tbody>
+                    </table>
+                    <!-- end of correlation table -->
+
                 </div>
                 <div class="modal-footer">
                     <button class="btn btn-secondary" type="button" data-dismiss="modal">Cancel</button>
@@ -2066,7 +2322,7 @@
     <!-- gaze advanced analysis modal -->
     <div class="modal fade" id="gaze_advanced_modal" tabindex="-1" role="dialog" aria-labelledby="exampleModalLabel"
          aria-hidden="true">
-        <div class="modal-dialog" role="document" style="max-width: 1400px">
+        <div class="modal-dialog" role="document" style="max-width: 700px">
             <div class="modal-content">
                 <div class="modal-header">
                     <h5 class="modal-title" id="exampleModalLabel">Gaze Advanced Analysis</h5>
@@ -2075,7 +2331,29 @@
                     </button>
                 </div>
                 <div class="modal-body text-center">
-                    <p>Hello</p>
+                    <h3 class="font-weight-bold">Student Gaze estimation VS. Lecturer Activity</h3>
+
+                    <!-- ajax loader -->
+                    <div class="text-center" id="gaze_corr_loader" hidden>
+                        <img src="{% static 'FirstApp/images/ajax-loader.gif' %}" alt="Loader">
+                    </div>
+
+                    <!-- correlation table -->
+                    <table class="table table-striped" id="gaze_corr_table" hidden>
+                        <thead>
+                        <tr>
+                            <th>Student Gaze estimation</th>
+                            <th>Lecturer Activity</th>
+                            <th>Correlation Score</th>
+                        </tr>
+                        </thead>
+
+                        <tbody id="gaze_corr_tbody">
+
+                        </tbody>
+                    </table>
+                    <!-- end of correlation table -->
+
                 </div>
                 <div class="modal-footer">
                     <button class="btn btn-secondary" type="button" data-dismiss="modal">Cancel</button>

FirstApp/templates/FirstApp/activity.html

@@ -243,21 +243,19 @@
                 //define the student video src
                 let video_src = "{% static '' %}FirstApp/videos/" + global_video_name;
 
-                {#global_lecturer_video_name = "Test_1.mp4";#}
-                {#global_lecturer_video_name = "Test_2.mp4";#}
-                global_lecturer_video_name = "Test_3.mp4";
-
-                //define the lecturer video src
-                let lecturer_video_src = "{% static '' %}FirstApp/lecturer_videos/" + global_lecturer_video_name;
-
-
                 //assign the video src
                 $('#student_video').attr('src', video_src);
 
-                //assign the video src
-                $('#lecturer_video').attr('src', lecturer_video_src);
+                //fetch the lecture recorded video name
+                fetch('http://127.0.0.1:8000/get-lecture-recorded-video-name/?lecturer=' + global_lecturer + '&subject=' + global_subject + '&date=' + global_lecture_date)
+                .then((res) => res.json())
+                .then((out) => assignLecturerRecordedVideoName(out))
+                .catch((err) => alert('error: ' + err));
+
+                {#global_lecturer_video_name = "Test_1.mp4";#}
+                {#global_lecturer_video_name = "Test_2.mp4";#}
+                {#global_lecturer_video_name = "Test_3.mp4";#}
 
-                $('#integrate_modal').modal();
 
 
                 //fetch data from the API
@@ -268,6 +266,21 @@
 
             });
 
+            //assign the lecturer recorded video name
+            function assignLecturerRecordedVideoName(res) {
+
+                global_lecturer_video_name = res.video_name;
+
+                //define the lecturer video src
+                let lecturer_video_src = "{% static '' %}FirstApp/lecturer_videos/" + global_lecturer_video_name;
+
+
+                //assign the video src
+                $('#lecturer_video').attr('src', lecturer_video_src);
+
+                $('#integrate_modal').modal();
+            }
+
             //this function will load the activity recognition for frames
             function displayActivityRecognitionForFrame(response) {
                 //hide the loader
@@ -527,11 +540,11 @@
                     {% load static %}
 
                     <!-- Page Heading -->
-                    {#                    <div class="d-sm-flex align-items-center justify-content-between mb-4">#}
-                    {#                        <h1 class="h3 mb-0 text-gray-800">Student Activity Recognition</h1>#}
-                    {#                        <button type="button" data-target="#generateReportModal" data-toggle="modal" class="d-none d-sm-inline-block btn btn-sm btn-primary shadow-sm" id="generate_report_before" disabled><i#}
-                    {#                                class="fas fa-download fa-sm text-white-50"></i> Generate Report</button>#}
-                    {#                    </div>#}
+                    <div class="d-sm-flex align-items-center justify-content-between mb-4">
+                        <h1 class="h3 mb-0 text-gray-800">Student Activity Recognition</h1>
+                        {#                        <button type="button" data-target="#generateReportModal" data-toggle="modal" class="d-none d-sm-inline-block btn btn-sm btn-primary shadow-sm" id="generate_report_before" disabled><i#}
+                        {#                                class="fas fa-download fa-sm text-white-50"></i> Generate Report</button>#}
+                    </div>
 
 
                     <!--first row -->

FirstApp/urls.py

@@ -203,6 +203,21 @@ urlpatterns = [
     # retrieves lecture activity summary
     url(r'^get-lecture-gaze-summary/$', api.GetLectureGazeSummary.as_view()),
 
+    # retrieves lecture activity summary
+    url(r'^get-activity-correlations/$', api.GetLectureActivityCorrelations.as_view()),
+
+    # retrieves lecture activity summary
+    url(r'^get-emotion-correlations/$', api.GetLectureEmotionCorrelations.as_view()),
+
+    # retrieves lecture activity summary
+    url(r'^get-gaze-correlations/$', api.GetLectureGazeCorrelations.as_view()),
+
+
+    ##### OTHERS #####
+
+    # retrieves lecture recorded video name
+    url(r'^get-lecture-recorded-video-name/$', api.GetLecturerRecordedVideo.as_view()),
+
 
     # routers
     # path('', include(router.urls)),