DC Field | Value | Language |
---|---|---|
dc.contributor.author | Yu, Xiaoqun | ko |
dc.contributor.author | Xiong, Shuping | ko |
dc.date.accessioned | 2019-08-19T10:20:11Z | - |
dc.date.available | 2019-08-19T10:20:11Z | - |
dc.date.created | 2019-07-15 | - |
dc.date.created | 2019-07-15 | - |
dc.date.created | 2019-07-15 | - |
dc.date.issued | 2019-07 | - |
dc.identifier.citation | SENSORS, v.19, no.13, pp.1 - 17 | - |
dc.identifier.issn | 1424-8220 | - |
dc.identifier.uri | http://hdl.handle.net/10203/264274 | - |
dc.description.abstract | Older people face difficulty engaging in conventional rehabilitation exercises for improving physical functions over a long time period due to the passive nature of the conventional exercise, inconvenience, and cost. This study aims to develop and validate a dynamic time warping (DTW) based algorithm for assessing Kinect-enabled home-based physical rehabilitation exercises, in order to support auto-coaching in a virtual gaming environment. A DTW-based algorithm was first applied to compute motion similarity between two time series from an individual user and a virtual coach. We chose eight bone vectors of the human skeleton and body orientation as the input features and proposed a simple but innovative method to further convert the DTW distance to a meaningful performance score in terms of the percentage (0-100%), without training data and experience of experts. The effectiveness of the proposed algorithm was validated through a follow-up experiment with 21 subjects when playing a Tai Chi exergame. Results showed that the algorithm scores had a strong positive linear relationship (r = 0.86) with experts' ratings and the calibrated algorithm scores were comparable to the gold standard. These findings suggested that the DTW-based algorithm could be effectively used for automatic performance evaluation of an individual when performing home-based rehabilitation exercises. | - |
dc.language | English | - |
dc.publisher | MDPI | - |
dc.title | A Dynamic Time Warping Based Algorithm to Evaluate Kinect-Enabled Home-Based Physical Rehabilitation Exercises for Older People | - |
dc.type | Article | - |
dc.identifier.wosid | 000477045000043 | - |
dc.identifier.scopusid | 2-s2.0-85069268426 | - |
dc.type.rims | ART | - |
dc.citation.volume | 19 | - |
dc.citation.issue | 13 | - |
dc.citation.beginningpage | 1 | - |
dc.citation.endingpage | 17 | - |
dc.citation.publicationname | SENSORS | - |
dc.identifier.doi | 10.3390/s19132882 | - |
dc.contributor.localauthor | Xiong, Shuping | - |
dc.description.isOpenAccess | Y | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | aging | - |
dc.subject.keywordAuthor | physical function | - |
dc.subject.keywordAuthor | rehabilitation exercise | - |
dc.subject.keywordAuthor | Kinect | - |
dc.subject.keywordAuthor | dynamic time warping | - |
dc.subject.keywordAuthor | automatic coaching | - |
dc.subject.keywordAuthor | exergame | - |
dc.subject.keywordPlus | INTERVENTIONS | - |
dc.subject.keywordPlus | RELIABILITY | - |
dc.subject.keywordPlus | TECHNOLOGY | - |
dc.subject.keywordPlus | PREVENTION | - |
dc.subject.keywordPlus | STRENGTH | - |
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