This paper is in the following e-collection/theme issue:

Fitness Trackers and Smart Pedometers/Accelerometers (669) Evaluation and Research Methodology for mHealth (242) Physical Activity for Older People (283) Usability of Apps and User Perceptions of mHealth (1192) Wearable Devices and Sensors (1141) Mobile Devices and Apps for Seniors and Healthy Aging (268) Usability and Technology Use Studies with Elder Subjects (271)

Published on in Vol 9, No 5 (2021): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/20966, first published .
Usability and Accuracy of a Smartwatch for the Assessment of Physical Activity in the Elderly Population: Observational Study

Usability and Accuracy of a Smartwatch for the Assessment of Physical Activity in the Elderly Population: Observational Study

Usability and Accuracy of a Smartwatch for the Assessment of Physical Activity in the Elderly Population: Observational Study

Authors of this article:

Matteo Martinato1 Author Orcid Image ;   Giulia Lorenzoni1 Author Orcid Image ;   Tommaso Zanchi1 Author Orcid Image ;   Alessia Bergamin1 Author Orcid Image ;   Alessia Buratin1, 2, 3 Author Orcid Image ;   Danila Azzolina1, 4 Author Orcid Image ;   Dario Gregori1 Author Orcid Image
Article Authors Cited by (25) Tweetations (6) Metrics

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  2. Zhu Z, Ren Y, Duan P, Pan W. Modeling of Smart Watch and System Construction Method for the Elderly Based on Big Data. Mathematical Problems in Engineering 2022;2022:1 View
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  8. Colonna G, Hoye J, de Laat B, Stanley G, Ibrahimy A, Tinaz S, Morris E. Measuring Heart Rate Accurately in Patients With Parkinson Disease During Intense Exercise: Usability Study of Fitbit Charge 4. JMIR Biomedical Engineering 2023;8:e51515 View
  9. Chen D, Du Y, Liu Y, Hong J, Yin X, Zhu Z, Wang J, Zhang J, Chen J, Zhang B, Du L, Yang J, He X, Xu X. Development and validation of a smartwatch algorithm for differentiating physical activity intensity in health monitoring. Scientific Reports 2024;14(1) View
  10. Lee J, Kim M, Hwang S, Lee K, Park J, Shin T, Lim H, Urtnasan E, Chung M, Lee J. Developing prediction algorithms for late-life depression using wearable devices: a cohort study protocol. BMJ Open 2024;14(6):e073290 View
  11. Kyaw M, Aung M, Koyanagi Y, Moolphate S, Aung T, Ma H, Lee H, Nam H, Nam E, Yuasa M. Sociodigital Determinants of eHealth Literacy and Related Impact on Health Outcomes and eHealth Use in Korean Older Adults: Community-Based Cross-Sectional Survey. JMIR Aging 2024;7:e56061 View
  12. Shimoda T, Tomida K, Nakajima C, Kawakami A, Shimada H. Combined Self-Reported and Device-Measured Physical Activity Assessment and Disability Incidence in Older Adults. Journal of the American Medical Directors Association 2025;26(6):105375 View
  13. Tsamassiotis S, Schwarze M, Gehring P, Karkosch R, Tücking L, Einfeldt A, Jakubowitz E. Accelerometers can correctly count orthopaedic patients' early post‐operative steps while using walking aids. Journal of Experimental Orthopaedics 2025;12(1) View
  14. Kim M, Hwang S. Development and Effects of a Smartphone Application to Improve Self-Management in Workers Who Underwent Thyroid Cancer Surgery. Cancer Nursing 2025 View
  15. Guo E, He S, Zheng L. Health effects and mediating mechanisms of smart wearable devices on older people: evidence from China. Frontiers in Public Health 2025;13 View
  16. Sulla Torres J, Montesinos Roderick Nestor C, Catalina Correa Herrera S, Balcázar J, Baca H, Toia A. Wearable System for Cardiac Diagnosis and Monitoring: Clustering Analysis and Usability Assessment Using Fractal Geometry. IEEE Access 2025;13:104742 View
  17. Cigarroa I, Reyes-Molina D, Vargas-Rios F, López-Alarcón G, Jara-Aceituno S, Riquelme-Hernández C, Zapata-Lamana R, Parra-Rizo M. Effectiveness of Synchronous Telerehabilitation Versus Face-to-Face Physical Therapy in Older Adults Who Are Frail: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2025;14:e72318 View
  18. de Lucena E, de Oliveira J, Soriano-Vargas A, Oliveros D, Rocha A, Uchida M. Commercial wrist-worn wearable devices for older adults: a scoping review. Disability and Rehabilitation: Assistive Technology 2025:1 View
  19. Marek K, Górski J, Karolczyk P, Redlicka J, Zubrycki I, Miller E. Feasibility of Wearable Devices for Motivating Post-Stroke Patients. Sensors 2025;25(16):5204 View
  20. Hayes G, Buck C, Cardon G, Cimler R, Elavsky S, Fezeu K L, Harrington J, Kühnová J, Oppert J, Sigcha L, Van de Ven P, Vetrovsky T, Woods C, Hebestreit A, Donnelly A. “Standardized Methods for Evaluating Physical and Eating Behaviours: The Wearable Sensor Assessment of Physical and Eating Behaviours “WEALTH” Project” (Preprint). JMIR Research Protocols 2024 View

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Conference Proceedings

  1. Aakesh U, Rajasekaran Y, Sabarivani , Sudhakar T. 2023 5th International Conference on Smart Systems and Inventive Technology (ICSSIT). Review on Healthcare Monitoring and Tracking Wristband for Elderly People using ESP-32 View
  2. U A, Rajasekaran Y, J B. 2023 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS). Wristband for Elderly Individuals: Esp-32 and Arduino Nano Enabled Solution for Health Monitoring and Tracking View
  3. Mattioli V, Davoli L, Belli L, Raheli R, Ferrari G. 2025 19th International Symposium on Medical Information and Communication Technology (ISMICT). Analysis of Daily Physical Activity by Garmin Smartwatches: A 7-Month Experiment View
  4. Devi R, Sekar R, Gowdhamkumar S, Srinivasan A, Hemalatha L, S S. 2025 9th International Conference on Inventive Systems and Control (ICISC). An IoT Based Intelligent Watch to Promote Child Safety View