Walking Phase Recognition for People with Lower Limb Disability

This paper presents a total solution on EMG signal-based walking phase recognition for people with lower limb disability. Various environmental factors such as sensed location, walking speed, and ground inclination are taken into consideration in all the phases of signal sensing, feature extraction,...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Sang Wan Lee, Taeyoub Yi, Jeong-Su Han, Hyoyoung Jang, Heon-Hui Kim, Jin-Woo Jung, Bien, Z.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Electromyography Environmental factors Feature extraction Humans Legged locomotion Muscles Rehabilitation robotics Robots Systems engineering and theory Working environment noise
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