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

Usability of Apps and User Perceptions of mHealth (1192) Design and Usability of Consumer Health Tech and Home Monitoring Devices (327) Fitness Trackers and Smart Pedometers/Accelerometers (669) Falls Prevention in the Elderly (101) Usability and Technology Use Studies with Elder Subjects (271)

Published on in Vol 8, No 5 (2020): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/14453, first published .
A Mobile Phone–Based Gait Assessment App for the Elderly: Development and Evaluation

A Mobile Phone–Based Gait Assessment App for the Elderly: Development and Evaluation

A Mobile Phone–Based Gait Assessment App for the Elderly: Development and Evaluation

Authors of this article:

Runting Zhong1, 2 Author Orcid Image ;   Pei-Luen Patrick Rau2 Author Orcid Image
Article Authors Cited by (40) Tweetations (2) Metrics

Journals

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  2. Czech M, Demanuele C, Erb M, Ramos V, Zhang H, Ho B, Patel S. The Impact of Reducing the Number of Wearable Devices on Measuring Gait in Parkinson Disease: Noninterventional Exploratory Study. JMIR Rehabilitation and Assistive Technologies 2020;7(2):e17986 View
  3. de Batlle J, Massip M, Vargiu E, Nadal N, Fuentes A, Ortega Bravo M, Colomina J, Drudis R, Torra M, Pallisó F, Miralles F, Barbé F, Torres G. Implementing Mobile Health–Enabled Integrated Care for Complex Chronic Patients: Patients and Professionals’ Acceptability Study. JMIR mHealth and uHealth 2020;8(11):e22136 View
  4. Kahlon A, Sansare A, Behboodi A. Remote Gait Analysis as a Proxy for Traditional Gait Laboratories: Utilizing Smartphones for Subject-Driven Gait Assessment across Differing Terrains. Biomechanics 2022;2(2):235 View
  5. Zhong R, Liao J, Xu Y. Fatigue assessment of sedentary office workers using smartphones: a preliminary study. International Journal of Occupational Safety and Ergonomics 2023;29(2):723 View
  6. Zhong R, Ma M. Effects of communication style, anthropomorphic setting and individual differences on older adults using voice assistants in a health context. BMC Geriatrics 2022;22(1) View
  7. Li C, Xiong Y, Muessig K, Tang W, Huang H, Mu T, Tong X, Yu J, Yang Z, Sherer R, Hazra A, Lio J, Matthews D, Fisher E, Li L, Tucker J. Community-engaged mHealth intervention to increase uptake of HIV pre-exposure prophylaxis (PrEP) among gay, bisexual and other men who have sex with men in China: study protocol for a pilot randomised controlled trial. BMJ Open 2022;12(5):e055899 View
  8. Hsieh K, Chen L, Sosnoff J, Lipsitz L. Mobile Technology for Falls Prevention in Older Adults. The Journals of Gerontology: Series A 2023;78(5):861 View
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  10. Zhong R, Gao T. Impact of walking states, self-reported daily walking amount and age on the gait of older adults measured with a smart-phone app: a pilot study. BMC Geriatrics 2022;22(1) View
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  12. Sher A, Bunker M, Akanyeti O. Towards personalized environment‐aware outdoor gait analysis using a smartphone. Expert Systems 2023;40(5) View
  13. Dias S, Graf C, Jehli E, Oertel M, Mahler J, Schmid Daners M, Stieglitz L. Gait pattern analysis in the home environment as a key factor for the reliable assessment of shunt responsiveness in patients with idiopathic normal pressure hydrocephalus. Frontiers in Neurology 2023;14 View
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  15. Zhou C, Feng D, Chen S, Ban N, Pan J. Portable vision-based gait assessment for post-stroke rehabilitation using an attention-based lightweight CNN. Expert Systems with Applications 2024;238:122074 View
  16. Lai X, Lee Y, Hong X, Rau P. Watch your step: A pilot study of smartphone use effect on young females’ gait performance while walking up and down stairs and escalators. Applied Ergonomics 2024;114:104130 View
  17. Turcotte S, Bouchard C, Rousseau J, DeBroux Leduc R, Bier N, Kairy D, Dang‐Vu T, Sarimanukoglu K, Dubé F, Bourgeois Racine C, Rioux C, Shea C, Filiatrault J. Factors influencing older adults' participation in telehealth interventions for primary prevention and health promotion: A rapid review. Australasian Journal on Ageing 2024;43(1):11 View
  18. Olsen S, Rashid U, Barbado D, Suresh P, Alder G, Khan Niazi I, Taylor D. The validity of smartphone-based spatiotemporal gait measurements during walking with and without head turns: Comparison with the GAITRite® system. Journal of Biomechanics 2024;162:111899 View
  19. Yamamoto A, Yamada E, Ibara T, Nihey F, Inai T, Tsukamoto K, Waki T, Yoshii T, Kobayashi Y, Nakahara K, Fujita K. Using In-Shoe Inertial Measurement Unit Sensors to Understand Daily-Life Gait Characteristics in Patients With Distal Radius Fractures During 6 Months of Recovery: Cross-Sectional Study. JMIR mHealth and uHealth 2024;12:e55178 View
  20. Tao S, Zhang H, Kong L, Sun Y, Zhao J. Validation of gait analysis using smartphones: Reliability and validity. DIGITAL HEALTH 2024;10 View
  21. Brognara L. Gait Assessment Using Smartphone Applications in Older Adults: A Scoping Review. Geriatrics 2024;9(4):95 View
  22. Contreras C, Stanley E, Deschamps-Prescott C, Burnap S, Hopkins M, Browning B, Christensen J. Evaluation of Smartphone Technology on Spatiotemporal Gait in Older and Diseased Adult Populations. Sensors 2024;24(17):5839 View
  23. Sher A, Akanyeti O. Minimum data sampling requirements for accurate detection of terrain-induced gait alterations change with mobile sensor position. Pervasive and Mobile Computing 2024;105:101994 View
  24. Irfan M, Suryadevara N. Reliable Gait Measurements Using Smartphone Vision Sensor. IEEE Sensors Journal 2025;25(1):1487 View
  25. Xu K, Yu W, Yu S, Zheng M, Zhang H. The Detection of Gait Events Based on Smartphones and Deep Learning. Bioengineering 2025;12(5):491 View
  26. He H, Raja Ghazilla R, Abdul-Rashid S. A Systematic Review of the Usability of Telemedicine Interface Design for Older Adults. Applied Sciences 2025;15(10):5458 View
  27. Leung W, Yau C, Lam S. Facilitators, barriers, and recommendations for mobile health applications among Chinese older populations: a scoping review. BMC Geriatrics 2025;25(1) View
  28. Llopis P, Oviedo-Trespalacios O, Alonso F, Faus M, Useche S. Walking apps for active aging? A literature and multi-source review of their impact on older adult users’ mobility and wellbeing. Sustainable Futures 2025;10:100982 View
  29. Lai X, Qiao L, Rau P, Liu Y. Gait Disturbances in Older Adults With Cerebral Small Vessel Disease: Mixed Methods Study Using Smartphone Sensors and Video Analysis. JMIR Formative Research 2025;9:e58864 View
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Books/Policy Documents

  1. Liu Y, Verma R, Theng Y. Aging. View
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Conference Proceedings

  1. Sun J, Jia T, Lim K, Mo L, Ji L, Li C. 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Unsupervised Gait Assessments of Stroke Patients Using a Smartphone and Machine Learning View