Emerging Wearable Interfaces and Algorithms for Hand Gesture Recognition: A Survey

Hands are vital in a wide range of fundamental daily activities, and neurological diseases that impede hand function can significantly affect quality of life. Wearable hand gesture interfaces hold promise to restore and assist hand function and to enhance human-human and human-computer communication...

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Vydané v:	IEEE reviews in biomedical engineering Ročník 15; s. 85 - 102
Hlavní autori:	Jiang, Shuo, Kang, Peiqi, Song, Xinyu, Lo, Benny, Shull, Peter
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Deep learning Discriminant analysis electromyography Exoskeleton Exoskeletons forcemyography Gesture recognition Gestures Hand Hand (anatomy) human-computer interaction Human-computer interface Humans Interfaces Learning algorithms Machine learning Machine learning algorithms Mathematical analysis Neurological diseases Prostheses Prosthetics Quality of Life Recovery of function Rehabilitation Reproducibility of Results Stroke (medical condition) Support vector machines Training Wearable Electronic Devices Wearable technology Wrist
ISSN:	1937-3333, 1941-1189, 1941-1189
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