Real-Time Sign Language Interpreter Using MediaPipe, Dynamic Time Warping, and NLP
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-1488-9_7
Reference20 articles.
1. Zhang Y, Long L, Shi D, He H, Liu X (2022) Research and improvement of Chinese sign language detection algorithm based on YOLOv5s. In: 2nd International conference on networking, communications and information technology (NetCIT). Manchester, United Kingdom, pp 577–581. https://doi.org/10.1109/NetCIT57419.2022.00137
2. Deep A, Litoriya A, Ingole A, Asare V, Bhole SM, Pathak S (2022) Realtime sign language detection and recognition. In: 2nd Asian conference on innovation in technology (ASIANCON). Ravet, India, pp 1–4. https://doi.org/10.1109/ASIANCON55314.2022.9908995
3. Gandhi D, Shah K, Chandane M (2022) Dynamic sign language recognition and emotion detection using MediaPipe and deep learning. In: 13th International conference on computing communication and networking technologies (ICT). Kharagpur, India, pp 1–7. https://doi.org/10.1109/ICCCNT54827.2022.9984592
4. Anilkumar G, Fouzia MS, Anisha GS (2022) Imperative methodology to detect the palm signs (American sign language) using YOLOv5 and MediaPipe. In: 2nd International conference on intelligent technologies (CONIT), pp 1–4. https://doi.org/10.1109/CONIT55038.2022.9847703
5. Shetty AD, Shetty J, Karthik K, Rakshitha, Shedthi BS (2023) Real-time translation of sign language for speech impaired. In: 7th International conference on computing methodologies and communication (ICCMC). Erode, India, pp 570–575. https://doi.org/10.1109/ICCMC56507.2023.10084053
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