抄録
In this present paper, we propose an algorithm for selecting appropriate transfer support equipment and robot based on the physical ability of the user. In addition, we describe the relationship between physical human features and the burden during standing when using a standing support robot. Although a number of care support devices have been developed, assistive robots are not yet popular because users do not know which devices are appropriate for their needs or physical abilities. In this study, we focus on a transfer support device and propose an algorithm for selecting transfer support equipment and a robot that suits the user's physical ability. We investigated the relationship between standing support equipment including a robot and the physical burden during standing, which is a basic transfer motion. Experimentally, we analyzed and calculated the knee and ankle joint moments and discussed the relationship between standing support equipment and knee and ankle joint moments during standing; we also investigated and the relationship between physical human features and the knee joint moment during standing. Our results identified standing support equipment that was appropriate to the user's physical ability. We found that it was effective to provide an up/down seat to persons having low residual ability; a standing support robot is appropriate for people having less residual ability in the knees, and a railing is suitable for people having low residual ability in the ankles.
本文言語 | English |
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ホスト出版物のタイトル | Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS |
ページ | 2485-2490 |
ページ数 | 6 |
DOI | |
出版ステータス | Published - 2013 |
イベント | 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013 - Osaka 継続期間: 2013 7月 3 → 2013 7月 7 |
Other
Other | 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013 |
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City | Osaka |
Period | 13/7/3 → 13/7/7 |
ASJC Scopus subject areas
- コンピュータ ビジョンおよびパターン認識
- 信号処理
- 生体医工学
- 健康情報学