論文

査読有り
2014年9月1日

Development of a system for the assessment of a dual-task performance based on a motion-capture device

International Journal on Disability and Human Development
  • Kazuya Okamoto
  • ,
  • Hiroki Kayama
  • ,
  • Minoru Yamada
  • ,
  • Naoto Kume
  • ,
  • Tomohiro Kuroda
  • ,
  • Tomoki Aoyama

13
3
開始ページ
333
終了ページ
336
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1515/ijdhd-2014-0324
出版者・発行元
De Gruyter

The authors produced a dual task (DT) that provided a dynamic balance task and a cognitive task in a game system using motion sensors and virtual images. There had been no DT where a cognitive task needs a dynamic balance task that requires full-body motions. We developed and evaluated a game system to assess the performance of the DT. The DT was to solve a Sudoku puzzle using full-body motions like Tái Chi. An ability to perform a DT is intimately related to risk of falls. To evaluate the developed system, we compared the performance of elderly people and young people. Generally, elderly people are at a higher risk of falls. Twenty elderly community-dwelling adults (mean age, 73.0 ± 6.2 years) and 16 young adults (mean age, 21.8 ± 1.0 years) participated in this study. To compare the two groups, we applied an independent-samples t-test. The time taken for the elderly people was 60.6 ± 43.2 s, whereas the time taken for the young people was 16.0 ± 4.8 s. The difference is statistically significant (p < 0.05). This result suggests that the developed game system is useful for the evaluation of the DT performance.

リンク情報
DOI
https://doi.org/10.1515/ijdhd-2014-0324
CiNii Research
https://cir.nii.ac.jp/crid/1050001335813463040?lang=ja
Scopus
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84925598915&origin=inward
Scopus Citedby
https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=84925598915&origin=inward
URL
http://hdl.handle.net/2433/198570
ID情報
  • DOI : 10.1515/ijdhd-2014-0324
  • ISSN : 2191-1231
  • eISSN : 2191-0367
  • CiNii Articles ID : 120005619764
  • identifiers.cinii_nr_id : 9000297476887
  • CiNii Research ID : 1050001335813463040
  • SCOPUS ID : 84925598915

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