Capturing complex hand movements and object interactions using machine learning-powered stretchable smart textile gloves
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Networks and Communications,Computer Vision and Pattern Recognition,Human-Computer Interaction,Software
Link
https://www.nature.com/articles/s42256-023-00780-9.pdf
Reference53 articles.
1. Luo, Y. et al. Learning human–environment interactions using conformal tactile textiles. Nat. Electron. 4, 193–201 (2021).
2. Moin, A. et al. A wearable biosensing system with in-sensor adaptive machine learning for hand gesture recognition. Nat. Electron. 4, 54–63 (2021).
3. Zhou, Z. et al. Sign-to-speech translation using machine-learning-assisted stretchable sensor arrays. Nat. Electron. 3, 571–578 (2020).
4. Chen, W. et al. A survey on hand pose estimation with wearable. Sensors 20, 1074 (2020).
5. Glauser, O. et al. Interactive hand pose estimation using a stretch-sensing soft glove. ACM Trans. Graph. 38, 41 (2019).
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