| Paper Abstract and Keywords |
| Presentation |
2026-02-17 10:40
Machine learning-based risk assessment of long-term care needs using the eyes-open stepping test.
Yuma Sako, Takeshi Kohama (Kindai Univ.), Eiji Fujita (NIFS in Kanoya), Masanobu Kusunoki (Kindai Univ.), Nobuo Takeshima (Asahi Univ.) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
The purpose of this study was to establish a screening method for the early identification of elderly in dividuals at the boundary between independent living and requiring support. We conducted a 20-second stepping test with eyes open in elderly participants, certified as either independent or requiring support, to assess their balance. The motions during the test were measured using a commercially available motion sensor. We constructed classification model using whole-body joint data and analyzed the joint kinematic features that contributed to the classification. The results suggest that the coordinate features of the head and heel joints contributed significantly to the discrimination between the two groups. Furthermore, when the trained model was applied to data from elderly individuals with a total score of 4 on the Basic Checklist, the classification probabilities showed variability, indicating that these individuals possessed characteristics intermediate between the two groups. These results suggest that the proposed method may be effective for screening elderly individuals who are borderline before the need for suppor becomes apparent. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Elderly requiring suppor / Independent elderl / Motion sensor / Stepping test / Discriminant learning model / / / |
| Reference Info. |
ITE Tech. Rep., vol. 50, no. 4, HI2026-4, pp. 18-21, Feb. 2026. |
| Paper # |
HI2026-4 |
| Date of Issue |
2026-02-10 (HI) |
| ISSN |
Online edition: ISSN 2424-1970 |
| Download PDF |
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| Conference Information |
| Committee |
IEICE-HIP HI VRPSY ASJ-H |
| Conference Date |
2026-02-17 - 2026-02-18 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
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| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
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| Paper Information |
| Registration To |
HI |
| Conference Code |
2026-02-HIP-HI-VRPSY-H |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Machine learning-based risk assessment of long-term care needs using the eyes-open stepping test. |
| Sub Title (in English) |
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| Keyword(1) |
Elderly requiring suppor |
| Keyword(2) |
Independent elderl |
| Keyword(3) |
Motion sensor |
| Keyword(4) |
Stepping test |
| Keyword(5) |
Discriminant learning model |
| Keyword(6) |
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| Keyword(7) |
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| 1st Author's Name |
Yuma Sako |
| 1st Author's Affiliation |
Kindai University (Kindai Univ.) |
| 2nd Author's Name |
Takeshi Kohama |
| 2nd Author's Affiliation |
Kindai University (Kindai Univ.) |
| 3rd Author's Name |
Eiji Fujita |
| 3rd Author's Affiliation |
National Institute of Fitness and Sports in Kanoya (NIFS in Kanoya) |
| 4th Author's Name |
Masanobu Kusunoki |
| 4th Author's Affiliation |
Kindai University (Kindai Univ.) |
| 5th Author's Name |
Nobuo Takeshima |
| 5th Author's Affiliation |
Asahi University (Asahi Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2026-02-17 10:40:00 |
| Presentation Time |
20 minutes |
| Registration for |
HI |
| Paper # |
HI2026-4 |
| Volume (vol) |
vol.50 |
| Number (no) |
no.4 |
| Page |
pp.18-21 |
| #Pages |
4 |
| Date of Issue |
2026-02-10 (HI) |