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Physical activity classification meets daily life: Review on existing methodologies and open challenges., , and . EMBC, page 5050-5053. IEEE, (2015)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)Association between smartphone-based activity monitoring and traditional clinical assessment tools in community-dwelling older people., , , , , and . RTSI, page 1-4. IEEE, (2016)Continuous Monitoring of Turning in Patients with Movement Disability., , , , , , and . Sensors, 14 (1): 356-369 (2014)Smartphone-based applications for investigating falls and mobility., , and . PervasiveHealth, page 258-261. IEEE, (2011)Influence of age and gender on sensor-based functional measures: A factor analysis approach., , , , and . EMBC, page 5054-5057. IEEE, (2015)HABITAT: An IoT Solution for Independent Elderly., , , , , , , , , and 16 other author(s). Sensors, 19 (5): 1258 (2019)Fall detection algorithms for real-world falls harvested from lumbar sensors in the elderly population: A machine learning approach., , , , , , , , and . EMBC, page 3712-3715. IEEE, (2016)Designing Smart Home Technology for Fall Prevention in Older People., , , , , , and . HCI (27), volume 435 of Communications in Computer and Information Science, page 485-490. Springer, (2014)Corrigendum: CONNECTED: leveraging digital twins and personal knowledge graphs in healthcare digitalization., , , and . Frontiers Digit. Health, (2024)