Abstract
The analysis of Sit-to-Stand (STS) movement can lead to the early detection of a decline in physical functioning. The present study clarified the differences between age groups in common STS movements of daily life. We measured the three patterns of STS movement assumed to be performed in living spaces. Principal component analysis was applied to the overall time series data. From the synthesized principal component space, principal components with significant differences between the elderly and young adults were extracted, and the movement strategies of elderly participants were revealed.
| Translated title of the contribution | 主成分分析を用いた居住空間における立ち上がり動作の包括的分析 |
|---|---|
| Original language | English |
| Pages (from-to) | 282-290 |
| Number of pages | 9 |
| Journal | Journal of Environmental Engineering (Japan) |
| Volume | 87 |
| Issue number | 794 |
| DOIs | |
| Publication status | Published - 2022 |
Keywords
- Elderly people
- Handrail
- Non-contact sensor
- Principal component analysis
- Sit-to-stand
ASJC Scopus subject areas
- Environmental Engineering