Identifying Abnormal Gait in Older People during Multiple-Tasks Assessment with Audio-Visual Cues

Worasak Rueangsirarak, Surapong Uttama, Kitchana Kaewkaen, Hubert Shum

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

1 Citation (Scopus)
2 Downloads (Pure)

Abstract

This research presents a feasibility to adopt a decision support system framework as a rehabilitation and assessment tool for supporting the physiotherapist in identifying the abnormal gaits of older people. The walking movement was captured by the Microsoft Kinect cameras in order to collect the human motion during 4-meters clinical walk test. 28 older adults participated in this research and perform their gait in front of the affordable cameras. To distinguish an abnormal gait with balance impairment from those of healthy older adults, two machine learning algorithms; ANN and SVM, were selected to classify the data. Experimental results show that SVM achieves the best performance of classification with 82.14% of accuracy, in single-task and double-task conditions, when compared with the standard clinical results. However, SVM cannot achieve an acceptable performance when classifying triple-task condition, achieving only 71.42% of accuracy. As a comparison, ANN delivers only 75.00% of accuracy, which is inferior to SVM. This study show that SVM can be considered as a rehabilitation measuring tool for assisting the physiotherapist in assessing the gait of older people.
Original languageEnglish
Title of host publication2018 15th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)
Subtitle of host publicationChiang Rai, Thailand 18-21 July 2018
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages780-783
Number of pages4
ISBN (Electronic)9781538635551
ISBN (Print)9781538635568
DOIs
Publication statusPublished - 21 Jan 2019
EventInternational Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology -
Duration: 18 Jul 201821 Jul 2018
http://www.ecti-con.org/con-2018/

Conference

ConferenceInternational Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology
Period18/07/1821/07/18
Internet address

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