2019 Fiscal Year Final Research Report
Generation and implementation of assistive force for assisted wheelchair by fusion of different sensor information
| Project/Area Number |
16K16476
|
|---|
| Research Category |
Grant-in-Aid for Young Scientists (B)
|
| Allocation Type | Multi-year Fund |
|---|
| Research Field |
Rehabilitation science/Welfare engineering
|
|---|
| Research Institution | Tsuruoka National College of Technology |
|---|
Principal Investigator |
Onodera Ryoji 鶴岡工業高等専門学校, その他部局等, 教授 (40460331)
|
|---|
| Project Period (FY) |
2016-04-01 – 2020-03-31
|
| Keywords | 車椅子 / 力覚情報 / 介助力 / 歩行 |
|---|
| Outline of Final Research Achievements |
In order to improve the QOL of caregivers, I focused on wheelchairs, which are in high demand among assistive devices, in the current state of "elderly care by the elderly" in Japan, which had entered a super aging society. I proposed a quantitative analysis method of wheelchair operation, and a wheelchair structure based on the analysis results. Furthermore, by measuring the walking state using a small motion sensor, I clarified that the movement and the assistance force of the caregiver during wheelchair operation are linked, and that both have regularity. Although I could not reach the final goal of generating assist force by fusing the motion information and the force information, I obtained effective results for the realization.
|
| Free Research Field |
計測制御工学、医療福祉工学
|
| Academic Significance and Societal Importance of the Research Achievements |
本研究課題を遂行するにあたり，日常的に使用頻度の高い福祉機器である車椅子の介助者および乗車者の操作メカニズムを明らかにした．これにより，今後の新たな機器の提案に有効なものとなったと考える．また，力覚情報による人間が操作の解析や，これまで複雑な解析が用いられてきた歩行動作をモーションセンサのみで簡易的に把握できることを示したことで，車椅子以外の3次元運動における種々の解析に有効な手法の一例となった．
|
