Efficient Fall Detection from Wrist-Worn IMU Signals via Knowledge Distillation: A Lightweight CNN Approach Using the UMAFall Dataset
Falls are a major contributor to morbidity and mortality among older adults, and timely fall detection can help reduce the severity of fall-related outcomes. Wearable inertial measurement unit (IMU) sensors offer a promising solution for fall detection; however, many existing approaches rely on mult...
Zapisane w:
| Główni autorzy: | , , |
|---|---|
| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
MDPI AG
2026-05-01
|
| Seria: | Sensors |
| Hasła przedmiotowe: | |
| Dostęp online: | https://www.mdpi.com/1424-8220/26/11/3328 |
| Etykiety: |
Nie ma etykietki, Dołącz pierwszą etykiete!
|