Abstract
Tempor omandibular disorder (TMD) severely impacts patients' quality of life, while traditional rehabilitation treatments are often costly and lack compliance. Therefore, this study proposes an interactive home-based mandibular rehabilitation training system that integrates force sensing and computer vision. This system monitors mandibular motion and applied pressure in real time, providing patients with visual feedback and guidance. Incorporating self-efficacy theory, it designs personalized training plans to enhance compliance and sustainability. The study first established a medical paradigm centered on autonomous coordinated mandibular movement and resistance training and constructed a self-efficacy-oriented interactive experience model. Technically, a flexible pressure-sensing cuff and the MediaPipe visual model were employed to dynamically quantify and provide real-time evaluation and feedback of mandibular motion parameters. Experimental results demonstrate that this system effectively improves training accuracy, offers excellent usability, and provides comfort, providing an economical and convenient home rehabilitation solution for TMD patients.
Keywords
Temporomandibular joint disorder; Rehabilitation training; Force sensing; Computer vision
DOI
https://doi.org/10.21606/iasdr.2025.1213
Citation
Yang, Z., Lee, H.,and Chen, L.(2025) A Smart Interaction System for Mandibular Rehabilitation Training, in Chang, C.-Y., and Hsu, Y. (eds.), IASDR 2025: Design Next, 02-05 December, Taiwan. https://doi.org/10.21606/iasdr.2025.1213
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Conference Track
Track 9 - Healthcare Design
A Smart Interaction System for Mandibular Rehabilitation Training
Tempor omandibular disorder (TMD) severely impacts patients' quality of life, while traditional rehabilitation treatments are often costly and lack compliance. Therefore, this study proposes an interactive home-based mandibular rehabilitation training system that integrates force sensing and computer vision. This system monitors mandibular motion and applied pressure in real time, providing patients with visual feedback and guidance. Incorporating self-efficacy theory, it designs personalized training plans to enhance compliance and sustainability. The study first established a medical paradigm centered on autonomous coordinated mandibular movement and resistance training and constructed a self-efficacy-oriented interactive experience model. Technically, a flexible pressure-sensing cuff and the MediaPipe visual model were employed to dynamically quantify and provide real-time evaluation and feedback of mandibular motion parameters. Experimental results demonstrate that this system effectively improves training accuracy, offers excellent usability, and provides comfort, providing an economical and convenient home rehabilitation solution for TMD patients.