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

Research Letter (57) Telehealth and Telemonitoring (2088)

Published on in Vol 24, No 8 (2022): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/39190, first published .
Recognition of Gait Patterns in Older Adults Using Wearable Smartwatch Devices: Observational Study

Recognition of Gait Patterns in Older Adults Using Wearable Smartwatch Devices: Observational Study

Recognition of Gait Patterns in Older Adults Using Wearable Smartwatch Devices: Observational Study

Authors of this article:

Hyeon-Joo Kim1 Author Orcid Image ;   Hyejoo Kim1 Author Orcid Image ;   Jinyoon Park1 Author Orcid Image ;   Bumjo Oh2 Author Orcid Image ;   Seung-Chan Kim1 Author Orcid Image
Article Authors Cited by (13) Tweetations (4) Metrics

Journals

  1. Hou J, Qian S, Hou X, Zhang J, Wu H, Guo Y, Xian S, Geng W, Mu J, He J, Chou X. A high-performance mini-generator with average power of 2 W for human motion energy harvesting and wearable electronics applications. Energy Conversion and Management 2023;277:116612 View
  2. Yun S, Kim H, Ryu J, Kim S. Fine-Grained Motion Recognition in At-Home Fitness Monitoring with Smartwatch: A Comparative Analysis of Explainable Deep Neural Networks. Healthcare 2023;11(7):940 View
  3. Biswas N, Chakrabarti S, Jones L, Ashili S. Smart wearables addressing gait disorders: A review. Materials Today Communications 2023;35:106250 View
  4. Kim H, Lee H, Park J, Paillat L, Kim S. Vehicle Control on an Uninstrumented Surface With an Off-the-Shelf Smartwatch. IEEE Transactions on Intelligent Vehicles 2023;8(5):3366 View
  5. Park J, Kim C, Kim S. Enhancing Robustness of Viewpoint Changes in 3D Skeleton-Based Human Action Recognition. Mathematics 2023;11(15):3280 View
  6. Wang L, Zhou Z, Niu J, Peng J, Wang T, Hou X. Emerging innovations in portable chemical sensing devices: Advancements from microneedles to hydrogel, microfluidic, and paper-based platforms. Talanta 2024;278:126412 View
  7. Yamane T, Kimura M, Morita M. Effects of Sampling Frequency on Human Activity Recognition with Machine Learning Aiming at Clinical Applications. Sensors 2025;25(12):3780 View
  8. Sun Y, Chen J, Ji M, Li X. Wearable Technologies for Health Promotion and Disease Prevention in Older Adults: Systematic Scoping Review and Evidence Map. Journal of Medical Internet Research 2025;27:e69077 View
  9. 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
  10. Khalilipour N, Tajik R, Abbasi A, Mantashloo Z, Aziminia M. Squat errors classification based on National Academy of Sports Medicine guidelines using IMU and deep learning algorithms. Computers in Biology and Medicine 2025;197:110962 View

Conference Proceedings

  1. Hang C, Sivakumar S, Kitt W, Motalebi F. 2023 International Conference on Digital Applications, Transformation & Economy (ICDATE). Gait Analysis for Parkinson’s Patients by using Wrist Acceleration View
  2. Mekruksavanich S, Jantawong P, Jitpattanakul A. 2024 Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering (ECTI DAMT & NCON). Improving Performance and Explainability of Sensor-Based Human Activity Recognition View
  3. T A, R P, G P, Harshitha V, Subramani K, L J. 2024 Third International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN). Smartwatch-Powered Vehicle Navigation On Unmapped Terrain View