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MET calculations from on-body accelerometers for exergaming movements., , , , , , and . BSN, page 1-6. IEEE, (2013)Towards the Ambulatory Assessment of Movement Quality in Stroke Survivors using a Wrist-worn Inertial Sensor., , , , , , , , and . EMBC, page 2825-2828. IEEE, (2018)A Wearable RFID System to Monitor Hand Use for Individuals with Upper Limb Paresis., , , and . BSN, page 1-4. IEEE, (2019)The Use of a Finger-Worn Accelerometer for Monitoring of Hand Use in Ambulatory Settings., , , , and . IEEE J. Biomedical and Health Informatics, 23 (2): 599-606 (2019)Remote Assessment of Cognitive Impairment Level Based on Serious Mobile Game Performance: An Initial Proof of Concept., , , , , , , , and . IEEE J. Biomedical and Health Informatics, 23 (3): 1269-1277 (2019)Near-Realistic Mobile Exergames With Wireless Wearable Sensors., , , , , and . IEEE J. Biomedical and Health Informatics, 18 (2): 449-456 (2014)User-optimized activity recognition for exergaming., , , , , and . Pervasive and Mobile Computing, (2016)A wearable monitoring system for at-home stroke rehabilitation exercises: A preliminary study., , , , , and . BHI, page 13-16. IEEE, (2018)MARHS: mobility assessment system with remote healthcare functionality for movement disorders., , , and . IHI, page 333-342. ACM, (2012)Estimating Bradykinesia in Parkinson's Disease with a Minimum Number of Wearable Sensors., , , , , , and . CHASE, page 264-265. IEEE Computer Society / ACM, (2017)