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

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
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article

GestureX: Text Generation based on the Gesture Identified using LSTM

Ruturaj Patil, S. Asha Nair, Namita Pulgam, Zaid Parkar et al.
Hand Gesture Recognition Systems
article

GestureX: Text Generation based on the Gesture Identified using LSTM

Ruturaj Patil, S. Asha Nair, Namita Pulgam, Zaid Parkar, Akhil Nautiyal
article en

Abstract

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.

Openalex Percentile: Top 74%
Hand Gesture Recognition Systems
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