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pro vyhledávání: '"Wonho Heo"'
Publikováno v:
Sensors, Vol 15, Iss 11, Pp 27738-27759 (2015)
An exact classification of different gait phases is essential to enable the control of exoskeleton robots and detect the intentions of users. We propose a gait phase classification method based on neural networks using sensor signals from lower limb
Externí odkaz:
https://doaj.org/article/5ddaaeb5c773489092b947d053807517
Publikováno v:
Sensors
Volume 15
Issue 11
Pages 27738-27759
Sensors (Basel, Switzerland)
Sensors, Vol 15, Iss 11, Pp 27738-27759 (2015)
Volume 15
Issue 11
Pages 27738-27759
Sensors (Basel, Switzerland)
Sensors, Vol 15, Iss 11, Pp 27738-27759 (2015)
An exact classification of different gait phases is essential to enable the control of exoskeleton robots and detect the intentions of users. We propose a gait phase classification method based on neural networks using sensor signals from lower limb