@@ -28,15 +28,40 @@ The main objective of this project is to develop a Sign Language Translation Sys
### Member: Ranaweera R M S H (IT20251000)
**Research Question:**
- How can sign language translation be achieved by identifying audio and text components in a video and translating them into sign language using 3D components?
- How can sign language translation be achieved by identifying the audio components in a video and the text, and translating them into sign language using 3D components?
**Objectives:**
- Pre-process video data to extract audio and text components.
- Develop techniques to translate audio and text into sign language.
- Integrate sign language translation with 3D components to create a visually appealing sign language video.
- Evaluate the accuracy of sign language translation and the overall effectiveness of the demonstration.
- Pre-process video data to extract audio components.
- Develop techniques to translate audio into sign language.
- Develop techniques to translate text into sign language.
- Integrate sign language translation with 3D components to create visually appealing sign language videos.
- Evaluate the accuracy of sign language translation.
- Evaluate the overall effectiveness of the sign language translation demonstration.
- Apply computer graphics techniques to enhance the realism and visual quality of the sign language animations.
## Novelty and Contributions
-**Novel Approach:**
> The research question proposes a novel approach to sign language translation by utilizing audio components from a video and text input. This approach combines audio analysis and text translation with 3D components to create visually appealing sign language videos.
-**Audio Component Extraction:**
The research aims to develop techniques to pre-process video data and extract audio components. This extraction process is crucial for identifying and analyzing the audio elements necessary for sign language translation.
-**Audio-to-Sign Language Translation:**
The research contributes to the development of techniques that translate audio components into sign language. By analyzing the audio data, the system can generate accurate sign language gestures and expressions corresponding to the spoken words or sounds.
-**Text-to-Sign Language Translation:**
Another significant contribution is the development of techniques to translate text input into sign language. This enables users to input text directly, which the system converts into sign language gestures and expressions, providing a means of communication for individuals who are deaf or hard of hearing.
-**Integration of 3D Components:**
The research focuses on integrating sign language translation with 3D components to enhance the visual quality and realism of the sign language animations. This integration adds depth and realism to the sign language gestures and creates visually appealing videos that effectively convey the intended message.
-**Evaluation of Translation Accuracy:**
The research evaluates the accuracy of the sign language translation by comparing the generated sign language gestures with established sign language conventions. This evaluation ensures that the translations are linguistically and culturally appropriate, enhancing the overall effectiveness of the system.
-**Computer Graphics Enhancements:**
The research contributes to the application of computer graphics techniques to enhance the realism and visual quality of the sign language animations. By leveraging graphics capabilities, the system can create visually engaging and expressive sign language videos, improving the user experience.
