Biofeedback Assessment for Older People with Balance Impairment using a Low-cost Balance Board

Worasak Rueangsirarak, Chayuti Mekurai, Hubert P. H. Shum, Surapong Uttama, Roungsan Chaisricharoen, Kitchana Kaewkaen

Research output: Contribution to conferencePaper

3 Citations (Scopus)
24 Downloads (Pure)


This paper studies the feasibility of using a low-cost game device called Wii Fit Balance Board® to measure the static balance of older people for diagnosing a balance impairment, which is caused by muscle weakness in stroke patients. Sixty participants were invited to attend the risk assessment that included a clinical test. Four biofeedback testing patterns were tested with the participants. Two machine learning algorithms were selected to experiment using 10-fold cross validation scenario. The results show that Artificial Neuron Network has the best evaluation performance of 86.67%, 80%, and 80% in three out of four biofeedback testing patterns. This demonstrates that the application of static balance measurement together with Wii Fit Balance Board® could be implemented as a tool to replace high-cost force plate systems.
Original languageEnglish
Number of pages6
Publication statusPublished - Oct 2017
EventGWS 2017 - Global Wireless Summit - Cape Town, South Africa
Duration: 15 Oct 201718 Oct 2017


ConferenceGWS 2017 - Global Wireless Summit
Country/TerritorySouth Africa
CityCape Town
Internet address


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