Tai Chi training with real-time AI-based movement feedback significantly improved movement accuracy and balance in older adults compared to conventional feedback or no feedback.
Does real-time AI-based movement feedback improve physical and mental health outcomes in older adults participating in tai chi training?
Providing real-time AI-based movement feedback during tai chi training offers greater improvements in movement accuracy and balance for older adults compared to standard training.
(1) Background: This study aims to compare the effects of AI-based exercise feedback and standard training on the physical and mental health outcomes of older adults participating in a 4-week tai chi training program. (2) Methods: Participants were divided into three groups: an AI feedback group received real-time movement accuracy feedback based on AI and inertial measurement units (IMUs), a conventional feedback group received verbal feedback from supervisors, and a control group received no feedback. All groups trained three times per week for 8 weeks. Outcome measures, including movement accuracy, balance, grip strength, quality of life, and depression, were assessed before and after the training period. (3) Results: Compared to pre-training, all three groups showed significant improvements in movement accuracy, grip strength, quality of life, and depression. Only the AI feedback group showed significant improvements in balance. In terms of movement accuracy and balance, the AI feedback group showed significantly greater improvement compared to the conventional feedback group and the control group. (4) Conclusions: Providing real-time AI-based movement feedback during tai chi training offers greater health benefits for older adults compared to standard training without feedback.
Zhang et al. (2024) studied Older adults. Tai Chi training with AI-based movement-precision feedback vs. Conventional feedback and no feedback was evaluated on Movement accuracy, balance, grip strength, quality of life, and depression. Tai Chi training with real-time AI-based movement feedback significantly improved movement accuracy and balance in older adults compared to conventional feedback or no feedback.