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

mHealth for Data Collection and Research (1772) Mobile Health (mhealth) (5265) mHealth for Wellness, Behavior Change and Prevention (4307) Wearable Devices and Sensors (1643) Portable and Mobile Technologies for Rehabilitation (292) Fitness Trackers and Smart Pedometers/Accelerometers (805)

Published on in Vol 9, No 3 (2021): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24194, first published .
Man in red shorts and denim jacket walks with backpack and phone

Measurement of Human Walking Movements by Using a Mobile Health App: Motion Sensor Data Analysis

Measurement of Human Walking Movements by Using a Mobile Health App: Motion Sensor Data Analysis

Authors of this article:

Sungchul Lee1 Author Orcid Image ;   Ryan M Walker2 Author Orcid Image ;   Yoohwan Kim2 Author Orcid Image ;   Hyunhwa Lee3 Author Orcid Image
Article Authors Cited by (7) Tweetations (15) Metrics

Journals

  1. Cook D, Schmitter-Edgecombe M. Fusing Ambient and Mobile Sensor Features Into a Behaviorome for Predicting Clinical Health Scores. IEEE Access 2021;9:65033 View
  2. Lee S, Hwang E, Kim Y, Demir F, Lee H, Mosher J, Jang E, Lim K. Mobile Health App for Adolescents: Motion Sensor Data and Deep Learning Technique to Examine the Relationship between Obesity and Walking Patterns. Applied Sciences 2022;12(2):850 View
  3. Soulard J, Vaillant J, Baillet A, Gaudin P, Vuillerme N. Gait and Axial Spondyloarthritis: Comparative Gait Analysis Study Using Foot-Worn Inertial Sensors. JMIR mHealth and uHealth 2021;9(11):e27087 View
  4. Degbey G, Hwang E, Park J, Lee S. Deep Learning-Based Obesity Identification System for Young Adults Using Smartphone Inertial Measurements. International Journal of Environmental Research and Public Health 2024;21(9):1178 View
  5. Murali R, Edwin S, Martin L, Smythe M, Giuliano C. Prediction of Early Heparin Response in Patients With Venous Thromboembolism. Annals of Pharmacotherapy 2026 View

Conference Proceedings

  1. Cabada R, Estrada M, López N, Balderas H, Beltrán V. 2024 13th International Conference On Software Process Improvement (CIMPS). SensorAPP: A Methodology to Create a Dataset for Personality Recognition Using Mobile Devices View

Dissertations

  1. . Co-conception d’un dispositif numérique de soutien à l’autogestion de l’activité physique et de la douleur pour les personnes souffrant de lombalgie chronique. View