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Performance Evaluation of State of the Art Systems for Physical Activity Classification of Older Subjects Using Inertial Sensors in a Real Life Scenario: A Benchmark Study.

, , , , , and . Sensors, 16 (12): 2105 (2016)

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Digital Health Challenges in the Silver Era.. SERVICES, page 240-241. IEEE, (2019)Wearable systems with minimal set-up for monitoring and training of balance and mobility.. EMBC, page 5828-5832. IEEE, (2011)Physical activity classification meets daily life: Review on existing methodologies and open challenges., , and . EMBC, page 5050-5053. IEEE, (2015)Dependence of anticipatory postural adjustments for step initiation on task movement features: a study based on dynamometric and accelerometric data., , , and . EMBC, page 1489-1492. IEEE, (2006)A Recommender System for Behavioral Change in 60-70-year-old Adults., , , , , , and . AIxAS@AI*IA, volume 2804 of CEUR Workshop Proceedings, page 69-80. CEUR-WS.org, (2020)Bio-feedback System for Rehabilitation Based on a Wireless Body Area Network., , , , , and . PerCom Workshops, page 527-531. IEEE Computer Society, (2006)Accelerometry-based prediction of movement dynamics for balance monitoring., , , and . Medical Biol. Eng. Comput., 50 (9): 925-936 (2012)Association between smartphone-based activity monitoring and traditional clinical assessment tools in community-dwelling older people., , , , , and . RTSI, page 1-4. IEEE, (2016)User-Centered Design of Cues with Smart Glasses for Gait Rehabilitation in People with Parkinson's Disease: A Methodology for the Analysis of Human Requirements and Cues Effectiveness., , , , , and . AHFE (6), volume 264 of Lecture Notes in Networks and Systems, page 348-358. Springer, (2021)Continuous Monitoring of Turning in Patients with Movement Disability., , , , , , and . Sensors, 14 (1): 356-369 (2014)