Hand Gesture Recognition in Indian Sign Language Using Deep Learning by Harsh Kumar Vashisth, Tuhin Tarafder, Rehan Aziz, Mamta Arora, Alpana

“…Each country and culture have its own sign language, and some countries have multiple sign languages. Indian Sign Language (ISL) is a visual language used by the deaf and hard-of-hearing community in India. …”
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Toward Real-Time Recognition of Continuous Indian Sign Language: A Multi-Modal Approach Using RGB and Pose by M. Geetha, Neena Aloysius, Darshik A. Somasundaran, Amritha Raghunath, Prema Nedungadi

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A Deep Neural Network Framework for Dynamic Two-Handed Indian Sign Language Recognition in Hearing and Speech-Impaired Communities by Vaidhya Govindharajalu Kaliyaperumal, Paavai Anand Gopalan

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Exploring MediaPipe optimization strategies for real-time sign language recognition by Phuoc Thanh Nguyen, Thanh Hoang Nguyen, Ngoc Xuan Nguyen Hoang, Huynh Thanh Binh Phan, Hoang Son Hai Vu, Hieu Nhan Huynh

Subjects: “…LSTM, MediaPipe, How2Sign, Indian Sign Language, ISL…”
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Exploring MediaPipe optimization strategies for real-time sign language recognition by Phuoc Thanh Nguyen, Thanh Hoang Nguyen, Ngoc Xuan Nguyen Hoang, Huynh Thanh Binh Phan, Hoang Son Hai Vu, Hieu Nhan Huynh

Subjects: “…LSTM, MediaPipe, How2Sign, Indian Sign Language, ISL…”
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Optimized Multi-Modal Conformer-Based Framework for Continuous Sign Language Recognition by Neena Aloysius, Geetha M, Prema Nedungadi

“…To improve recognition accuracy, we employ an innovative task-adaptive supervised pretraining strategy for Efficient Conformer on a curated dataset of continuous Indian Sign Language (ISL). This strategy enables the model to effectively capture intricate data relationships during end-to-end training. …”
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Deep Learning-Based Sign Language Recognition Using Efficient Multi-Feature Attention Mechanism by Esma Yenisari, Sirma Yavuz

“…Furthermore, the generalization ability of the model was demonstrated by its high accuracy of 99.84% in the Argentinian Sign Language dataset (LSA64) and 98.41% in the Indian Sign Language dataset (INCLUDE50). Experimental results indicated that the proposed model architecture has a competitive performance compared to existing SLR models reviewed in the literature.…”
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