GestureX: Text Generation based on the Gesture Identified using LSTM
Technology has made remarkable strides, and it is crucial to use new technologies for the benefit of those who are hard of hearing. These people faces many issues in communication. To address this issue system is proposed leverages cutting-edge tools like MediaPipe and TensorFlow to enhance communication. The proposed system is able to understand sign language in real-time, offering a simple and effective solution. The key challenge it tackles is the variability of sign language, which can be influenced by factors like lighting and signing style. To address this a smart computer model using LSTM, has been developed to ensure accurate gesture recognition and through that sign language interpretation. This technique designed has the potential to significantly improve the lives of those with hearing difficulties, making socializing, learning, and conversing much easier for them.
Authors
- Ruturaj Patil (ORCID: https://orcid.org/0009-0002-6743-1764)
- S. Asha Nair (ORCID: https://orcid.org/0000-0002-3756-3259)
- Namita Pulgam
- Zaid Parkar
- Akhil Nautiyal
Publication Details
- Published
- 2024-08-23
- DOI
- https://doi.org/10.1109/iccubea61740.2024.10775203
- Primary Topic
- Hand Gesture Recognition Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00