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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Veröffentlicht in:	IEEE reviews in biomedical engineering Jg. 15; S. 85 - 102
Hauptverfasser:	Jiang, Shuo, Kang, Peiqi, Song, Xinyu, Lo, Benny, Shull, Peter
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	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
Online-Zugang:	Volltext
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