The main objective of our project is to deliver a mobile application where all
types of processing will be carried out in the cloud base system through
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@@ -6,7 +6,7 @@ API calls, which will be very helpful users. To detect stress level of
pregnant woman using various ways like facial expression, ECG, DASS reports
and suggest best solutions to reduce the stress.
#Main Research questions
#Main Research questions
According to the literature survey, there are many stress measurement systems
and methods available. But existing methods predict the stress level of
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@@ -16,7 +16,7 @@ easier and safer to measure stress level through facial recognition system
using multiple machine learning algorithms and image classification techniques
without harming pregnant women.
#Individual research question
#Individual research question
- Gathering data on the facial expressions and find the stress level of pregnant
women using image processing.
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@@ -44,7 +44,8 @@ analyze the data to provide the stress level.
solutions to reduce the stress level and give best solution for to reduce
the stress level and give what are the main reason for this stress.
#Individual Objectives
# Individual Objectives
-Detecting stress through facial expressions of pregnant women using image processing and calculate the stress level of the pregnant ladies. – E.J.A. Davis – IT18107456
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@@ -84,11 +85,16 @@ the stress level and give what are the main reason for this stress.
- DASS (Depression Anxiety Stress Scales) scoring system to identify stress level and calculate the stress level of the pregnant ladies. – S. Karunjan - IT18227000
>Every pregnant woman has different level of DASS collect the data questionnaire. other internet resources.
>Store in the database go through the Principal Component Analysis and analyze the data to provide the stress level.
>Design the database through insert the data.
>Consider the level of DASS data quality using preprocessing data.
>In preprocessing step consider contrast of the questions and the answers etc.
>Consider the level of DASS of the pregnant women in every pregnancy stage.