IoT Assisted Kernel Linear Discriminant Analysis Based Gait Phase Detection Algorithm for Walking With Cognitive Tasks

Gait phase detection is an important procedure in the application of many lower limb auxiliary robots. The gait phase detection algorithms that utilize surface electromyography (sEMG) signals have been developed to overcome unnatural walking. However, traditional studies mostly consider precise gait...

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Vydáno v:	IEEE access Ročník 7; s. 68240 - 68249
Hlavní autoři:	Peng, Fang, Peng, Wei, Zhang, Cheng, Zhong, Debao
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Piscataway IEEE 2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Algorithms classifier Cognitive tasks Discriminant analysis Electromyography Error reduction Feature extraction gait phase recognition Gait recognition Internet of Things IoT Kernel kernel LDA Kernels Legged locomotion Nonlinear analysis Phase detection Sensors Surface electromyography (sEMG) Task analysis Walking
ISSN:	2169-3536, 2169-3536
On-line přístup:	Získat plný text
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