Motion analysis of wheelchair considering the pectoral girdle mechanism

Shingo Hasegawa, Nobuto Matsuhira, Kunihiro Ogata, Eiichi Ono, Tsuyoshi Nakayama

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

The body type of persons using wheelchairs tend to be different from those of persons without disabilities, i.e., the former have limited clothes that suit them. Therefore, we have developed a robot arm simulated human body and motion to evaluate the comfort of clothes for persons using wheelchairs. We will promote the dissemination of fashionable adaptive clothing for wheelchair users, to encourage persons with spinal cord injuries. Having a pectoral girdle mechanism, the robot arm can retarget a motion similar to that of a human. Motion analysis with a near-human model is important for retargeting human motion with the robot arm. We have used attitude sensors to measure the motion of five male participants without disabilities and five participants (three males and two females) with spinal cord injuries. We have analyzed the measured motion using a human model that includes a pectoral girdle mechanism. In this study, we have described the analysis of the human motion of propelling a wheelchair and the usefulness of the pectoral girdle for this motion. We have divided the motion pattern into two groups according to the trunk posture. We confirm that the pectoral girdle is useful for expanding the movable arm region.

本文言語English
ホスト出版物のタイトルSII 2016 - 2016 IEEE/SICE International Symposium on System Integration
出版社Institute of Electrical and Electronics Engineers Inc.
ページ120-125
ページ数6
ISBN(電子版)9781509033294
DOI
出版ステータスPublished - 2017 2 6
イベント2016 IEEE/SICE International Symposium on System Integration, SII 2016 - Sapporo, Japan
継続期間: 2016 12 132016 12 15

出版物シリーズ

名前SII 2016 - 2016 IEEE/SICE International Symposium on System Integration

Other

Other2016 IEEE/SICE International Symposium on System Integration, SII 2016
CountryJapan
CitySapporo
Period16/12/1316/12/15

ASJC Scopus subject areas

  • Biomedical Engineering
  • Control and Systems Engineering
  • Mechanical Engineering
  • Artificial Intelligence
  • Hardware and Architecture
  • Control and Optimization

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