Self-Supervised Transfer Learning for IMU-Based Upper-Limb Action Detection and Motion Quality Analysis in an Immersive VR Functional Task
Wearable inertial sensing has considerable potential for process-level analysis of upper-limb function, but further evidence is needed to understand how it can be applied within ecologically structured immersive virtual reality (VR) tasks. Most VR-based functional assessments rely primarily on outco...
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| 主要な著者: | , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
MDPI AG
2026-06-01
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| シリーズ: | Journal of Sensor and Actuator Networks |
| 主題: | |
| オンライン･アクセス: | https://www.mdpi.com/2224-2708/15/3/46 |
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