A Comprehensive Approach to Indian Sign Language Recognition: Leveraging LSTM and MediaPipe Holistic for Dynamic and Static Hand Gesture Recognition

Rawat, Prachi and Kumar, Papendra and Tamta, Vivek Kumar and Kumar, Anuj (2025) A Comprehensive Approach to Indian Sign Language Recognition: Leveraging LSTM and MediaPipe Holistic for Dynamic and Static Hand Gesture Recognition. EAI Endorsed Transactions on AI and Robotics.

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Abstract

Recognizing Indian Sign Language (ISL) gestures effectively is crucial for improving communication accessibility for deaf community. This study introduces an innovative approach that integrates a Sequential Long Short-Term Memory (LSTM) model with MediaPipe Holistic for accurate and real-time gestur

Item Type: Article
Date Deposited: 04 Mar 2026 18:36
Last Modified: 10 Apr 2026 22:32
URI: http://eprints.eai.eu/id/eprint/53205

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