Walking phase recognition for people with lower limb disability

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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, feature selection, and classification. Based on analysis on fourteen well-known feature extraction methods in varying environmental situation, this paper proposes a methodology for selecting a good feature set, and then demonstrates effectiveness of the proposed approach with the classification results. © 2007 IEEE.
Publisher
IEEE
Issue Date
2007-06
Language
English
Citation

2007 IEEE 10th International Conference on Rehabilitation Robotics, ICORR'07, pp.60 - 67

DOI
10.1109/ICORR.2007.4428407
URI
http://hdl.handle.net/10203/244256
Appears in Collection
BiS-Conference Papers(학술회의논문)
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