Automatic Identification of Physical Activity Type and Duration by Wearable Activity Trackers: A Validation Study

Journals

1. Kooman J, Wieringa F, Han M, Chaudhuri S, van der Sande F, Usvyat L, Kotanko P. Wearable health devices and personal area networks: can they improve outcomes in haemodialysis patients?. Nephrology Dialysis Transplantation 2020;35(Supplement_2):ii43 View
2. Feng S, Yi J, Deitz G, Ding L, Van Gelder R, Menda S. Relationships Between Sleep, Activity, and Burnout in Ophthalmology Residents. Journal of Surgical Education 2021;78(3):1035 View
3. Dimitratos S, German J, Schaefer S. Wearable Technology to Quantify the Nutritional Intake of Adults: Validation Study. JMIR mHealth and uHealth 2020;8(7):e16405 View
4. Al-Bouwarthan M, Quinn M, Kriebel D, Wegman D. A Field Evaluation of Construction Workers’ Activity, Hydration Status, and Heat Strain in the Extreme Summer Heat of Saudi Arabia. Annals of Work Exposures and Health 2020;64(5):522 View
5. Vanhelst J, Béghin L, Turck D, Labreuche J, Coopman S, Gottrand F, Ley D. Daily physical activity patterns in children and adolescents with inflammatory bowel disease. Pediatric Research 2021;90(4):847 View
6. Leopold J, Davis R, Antman E. Data from Digital Health Devices Informs Ideal Cardiovascular Health. Journal of Personalized Medicine 2021;11(3):189 View
7. Gore R, Lynch C, Jordan C, Collins A, Robinson R, Fuller G, Ames P, Keerthi P, Kandukuri Y. Estimating the Health Effects of Adding Bicycle and Pedestrian Paths at the Census Tract Level: Multiple Model Comparison. JMIR Public Health and Surveillance 2022;8(8):e37379 View
8. Domin A, Uslu A, Schulz A, Ouzzahra Y, Vögele C. A Theory-Informed, Personalized mHealth Intervention for Adolescents (Mobile App for Physical Activity): Development and Pilot Study. JMIR Formative Research 2022;6(6):e35118 View
9. Wang W, Cheng J, Song W, Shen Y. The Effectiveness of Wearable Devices as Physical Activity Interventions for Preventing and Treating Obesity in Children and Adolescents: Systematic Review and Meta-analysis. JMIR mHealth and uHealth 2022;10(4):e32435 View
10. Sokas D, Paliakaitė B, Rapalis A, Marozas V, Bailón R, Petrėnas A. Detection of Walk Tests in Free-Living Activities Using a Wrist-Worn Device. Frontiers in Physiology 2021;12 View
11. Mascret Q, Gagnon-Turcotte G, Bielmann M, Fall C, Bouyer L, Gosselin B. A Wearable Sensor Network With Embedded Machine Learning for Real-Time Motion Analysis and Complex Posture Detection. IEEE Sensors Journal 2022;22(8):7868 View
12. Creaser A, Hall J, Costa S, Bingham D, Clemes S. Exploring Families’ Acceptance of Wearable Activity Trackers: A Mixed-Methods Study. International Journal of Environmental Research and Public Health 2022;19(6):3472 View
13. Yamatsu K, Narazaki K. Feasibility of the Remote Physical Activity Follow-Up Intervention after the Face-to-Face Program for Healthy Middle-Aged Adults: A Randomized Trial Using ICT and Mobile Technology. International Journal of Environmental Research and Public Health 2022;19(8):4922 View
14. Steel C, Crist K, Grimes A, Bejarano C, Ortega A, Hibbing P, Schipperijn J, Carlson J. Validity of a Global Positioning System-Based Algorithm and Consumer Wearables for Classifying Active Trips in Children and Adults. Journal for the Measurement of Physical Behaviour 2021;4(4):321 View
15. Novak R, Robinson J, Kanduč T, Sarigiannis D, Kocman D. Simulating the impact of particulate matter exposure on health-related behaviour: A comparative study of stochastic modelling and personal monitoring data. Health & Place 2023;83:103111 View
16. Novak R, Robinson J, Kanduč T, Sarigiannis D, Džeroski S, Kocman D. Empowering Participatory Research in Urban Health: Wearable Biometric and Environmental Sensors for Activity Recognition. Sensors 2023;23(24):9890 View

Books/Policy Documents

1. Swaminathan A. Computational Intelligence in Data Science. View
2. Rombokas E, Boe D. Foot and Ankle Biomechanics. View