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

Kinesiology (14) Usability of Apps and User Perceptions of mHealth (987) Mobile Health (mhealth) (2960) Innovations in Exercise Rehabilitation (214) Innovations and Technology for Physical Activity Education (747)

Published on in Vol 12 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37604, first published .
An Artificial Intelligence Exercise Coaching Mobile App: Development and Randomized Controlled Trial to Verify Its Effectiveness in Posture Correction

An Artificial Intelligence Exercise Coaching Mobile App: Development and Randomized Controlled Trial to Verify Its Effectiveness in Posture Correction

An Artificial Intelligence Exercise Coaching Mobile App: Development and Randomized Controlled Trial to Verify Its Effectiveness in Posture Correction

Authors of this article:

Han Joo Chae1 Author Orcid Image ;   Ji-Been Kim2 Author Orcid Image ;   Gwanmo Park1 Author Orcid Image ;   David Michael O'Sullivan2 Author Orcid Image ;   Jinwook Seo1 Author Orcid Image ;   Jung-Jun Park2 Author Orcid Image
Article Authors Cited by (1) Tweetations (2) Metrics

Journals

  1. Ekambaram D, Ponnusamy V. Real-Time Monitoring and Assessment of Rehabilitation Exercises for Low Back Pain through Interactive Dashboard Pose Analysis Using Streamlit—A Pilot Study. Electronics 2024;13(18):3782 View