Learning Activities of Daily Living from Unobtrusive Multimodal Wearables: Towards Monitoring Outpatient Rehabilitation
Author:
Affiliation:
1. ETH Zurich,Spinal Cord Injury & Artificial Intelligence Lab (SCAI),Switzerland
2. Swiss Paraplegic Centre (SPZ),Nottwil,Switzerland
3. Sensory-Motor Systems Lab ETH Zurich
4. Swiss Paraplegic Research (SPF),Switzerland
Funder
ETH Zurich Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10304677/10304678/10304743.pdf?arnumber=10304743
Reference24 articles.
1. Deep learning based human activity recognition (HAR) using wearable sensor data
2. Catboost: unbiased boosting with categorical features;prokhorenkova;Advances in neural information processing systems,2018
3. Inertial Data-Based AI Approaches for ADL and Fall Recognition
4. XGBoost
5. Pressure injuries and management after spinal cord injury;vecin;Journal of Medicine and the Person,2022
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