Walking phase recognition for people with lower limb disability

Sang Wan Lee, Taeyoub Yi, Jeong Su Han, Hyoyoung Jang, Heon Hui Kim, Jin Woo Jung, Zeungnam Bien

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publication2007 IEEE 10th International Conference on Rehabilitation Robotics, ICORR'07
Pages60-67
Number of pages8
DOIs
StatePublished - 2007
Event2007 IEEE 10th International Conference on Rehabilitation Robotics, ICORR'07 - Noordwijk, Netherlands
Duration: 12 Jun 200715 Jun 2007

Publication series

Name2007 IEEE 10th International Conference on Rehabilitation Robotics, ICORR'07

Conference

Conference2007 IEEE 10th International Conference on Rehabilitation Robotics, ICORR'07
Country/TerritoryNetherlands
CityNoordwijk
Period12/06/0715/06/07

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