適合高齡者平衡能力訓練之擴增實境太極拳系統之研發

Translated title of the contribution: Development of an Augmented Reality Individualized Tai-Chi Chuan Training System for Improving Balance Ability of Elderly

Wen-Hsu Sung, 陳 柏榕, 劉 政諄, 莊 榮仁

Research output: Contribution to journalArticlepeer-review

Abstract

Purposes: The study analyzes the mechanical characteristics of Tai-Chi's single strokes and uses Tai- Chi's single stroke teaching videos and body motion detection technology to develop an augmented reality (AR)-assisted coaching system, and recruit elderly to participate in the experiment to verify the training effects on balance. Methods: The Yang's Tai-Chi 24 styles were used and the difficulty of each style was graded by the standing posture on both feet and needed center of pressure (COP) movement trajectory length. The suitable single styles selected for training were according to the subject's ability to autonomously move the COP. Augmented reality function used Kinect for Windows to detect the subject's movement and displayed the subject's real-time image and skeleton information simultaneously. The subject's skeleton information was compared with the information of the Tai-Chi master performing the same single style to provide action prompts immediately. Senior subjects were recruited to verify the effect of the augmented reality-assisted training on balance ability. The duration lasted 8 weeks, 3 times a week, and 30 minutes each section. The Berg Balance Scale (BBS), Timed Up and Go Test (TUG), Functional Reach Test (FRT), and lower limb muscle strength tests were used to assess pre-intervention and post-intervention difference, the statistically significant level was set at p < .05. Results: Eight seniors were recruited (age: 70.0 ± 4.2 years old). After intervention, BBS was improved by an average of 3.5 ± 1.0 points (p = .011), and TUG was decreased by an average of 2.0 ± 0.4 seconds (p = .011) and FRT was increased by an average of 4.3 ± 2.4 cm (p = .012). In the muscle strength test, the lower limb muscle group improved by an average of 3.8 ± 3.6 kg, with significant differences in all 16 muscle groups. Conclusion: The improvement can be observed in clinical balance tests and lower limb muscle strength on elderly subjects with the AR-assisted Tai-Chi coaching system developed in the study with 8-weeks training. The AR-assisted Tai- Chi coaching system should help improve the balance performance of the elderly.
Translated title of the contributionDevelopment of an Augmented Reality Individualized Tai-Chi Chuan Training System for Improving Balance Ability of Elderly
Original languageChinese (Traditional)
Pages (from-to)1-10
Journal華人運動生物力學期刊
Volume17
Issue number2
DOIs
StatePublished - 1 Sep 2020

Keywords

  • motion detection
  • balance performance
  • lower limb muscle strength

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