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

Wearable Devices and Sensors (733) Evaluation and Research Methodology for mHealth (175) Fitness Trackers and Smart Pedometers/Accelerometers (513) Innovations and Technology for Physical Activity Education (613) Physical Activity for Older People (131) mHealth for Data Collection and Research (772) mHealth for Wellness, Behavior Change and Prevention (2523)

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

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23681, first published .
The Effect of Sensor Placement and Number on Physical Activity Recognition and Energy Expenditure Estimation in Older Adults: Validation Study

The Effect of Sensor Placement and Number on Physical Activity Recognition and Energy Expenditure Estimation in Older Adults: Validation Study

The Effect of Sensor Placement and Number on Physical Activity Recognition and Energy Expenditure Estimation in Older Adults: Validation Study

Authors of this article:

Anis Davoudi 1 Author Orcid Image ;   Mamoun T Mardini 2 Author Orcid Image ;   David Nelson 3 Author Orcid Image ;   Fahd Albinali 3 Author Orcid Image ;   Sanjay Ranka 4 Author Orcid Image ;   Parisa Rashidi 1 Author Orcid Image ;   Todd M Manini 2 Author Orcid Image
Article Authors Cited by (12) Tweetations (4) Metrics

Journals

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  8. Calvillo-Arbizu J, Naranjo-Hernández D, Barbarov-Rostán G, Talaminos-Barroso A, Roa-Romero L, Reina-Tosina J. A Sensor-Based mHealth Platform for Remote Monitoring and Intervention of Frailty Patients at Home. International Journal of Environmental Research and Public Health 2021;18(21):11730 View
  9. Sikandar T, Rabbi M, Ghazali K, Altwijri O, Almijalli M, Ahamed N. Minimum number of inertial measurement units needed to identify significant variations in walk patterns of overweight individuals walking on irregular surfaces. Scientific Reports 2023;13(1) View
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