iKneeBraces
| Autor: | Jin-Jong Chen, Jui-Chun Hsiao, Shih-Yao Wei, Hsin-Ruey Tsai, Yi-Ping Lo, Yi-Ping Hung, Ting-Wei Chiu, Chi-Feng Keng |
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| Rok vydání: | 2016 |
| Předmět: |
Inertial frame of reference
business.industry Computer science 0206 medical engineering 030229 sport sciences 02 engineering and technology Osteoarthritis Thigh medicine.disease 020601 biomedical engineering Gait 03 medical and health sciences Adduction moment 0302 clinical medicine medicine.anatomical_structure Center of pressure (terrestrial locomotion) medicine Computer vision Force platform Artificial intelligence business Simulation Motion sensors |
| Zdroj: | UbiComp |
| DOI: | 10.1145/2971648.2971675 |
| Popis: | We propose light-weight wearable devices, iKneeBraces, to prevent knee osteoarthritis (OA) using knee adduction moment (KAM) evaluation. iKneeBrace consists of two inertial measurement units (IMUs) to measure shin and thigh angles. KAM is estimated by ground force reaction (GRF), knee position and center of pressure position. Instead of heavy and bulky 3DoF force plates conventionally used, we propose to build a 2D input regression model using shin and thigh angles from iKneeBrace as input to infer GRF direction and further estimate KAM. We perform an experiment to evaluate the method. The results show that iKneeBrace can infer KAM similar to the ground truth in the first peak, the most important part to prevent knee OA. Furthermore, the proposed method can infer KAM in all parts if better IMUs used in iKneeBrace in the future. The proposed method not only makes KAM evaluation portable but also requires only light-weight devices. |
| Databáze: | OpenAIRE |
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