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Evaluation and Analysis of VR Content Dementia Prevention Training based on Musculoskeletal Motion Tracking

근골격계 동작 추적 기반 VR 콘텐츠 치매 예방 훈련 평가 및 분석

  • Received : 2019.10.28
  • Accepted : 2019.12.16
  • Published : 2020.01.31

Abstract

Recently, the increase in the elderly population due to an aging society has led to a relative increase in senile diseases such as vascular dementia or Alzheimer's disease, and the social burden for rehabilitation has increased. In addition, studies have been conducted for the risk assessment and prevention of musculoskeletal disorders. The purpose of this study is to suggest a system that can be used to help with dementia prevention training by tracking the movement of motion and virtual reality contents for the risk factors of musculoskeletal disorders of the elderly. We propose a training method for preventing dementia through musculoskeletal motion analysis algorithm and virtual reality content. Through motion recognition algorithm based on motion region design, we will track and analyze the moving radius of the target joint. The purpose of this study is to calculate and evaluate scores based on the time to accomplish the goals on virtual reality contents for the prevention of musculoskeletal disorders and the support of dementia prevention training, and the degree of difficulty, and to analyze the correlation between the results of performing K-MMSE and VR contents.

Acknowledgement

Supported by : Korea Institute of Planning and Evaluation for Technology in Food, Agriculture, Forestry(IPET)

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