VRInsole: an unobtrusive and immersive mobility training system for stroke rehabilitation.

Details

• Personal Author:
  Choi M-H ; Lin F ; Oagaz H ; Sable A ; Xu W
• Description:
  Stroke is a leading cause of long-term impairment, causing a fatality if not act upon in time. Home-based post-stroke rehabilitation plays an important role in helping patients to regain normal mobility and functionality at their residence. However, existing home-based rehabilitation approaches fail to effectively motivate patients on frequent engagement with exercise to achieve the intended outcome. In this paper, we develop VRInsole, a synthetical solution combining a Smart Insole footwear sensor and virtual reality (VR), targeting lower extremity mobility training in an immersive environment for stroke rehabilitation. Specifically, the motion information collected from the Smart Insole serve as the input for the VR to perform corresponding exercise animations. To prove the feasibility of VRInsole, an experiment is conducted on the recognition of lower extremity motion direction, which achieves an average accuracy of 93.9%. Description provided by NIOSH
• Subjects:
  • Automation
  • Electrical Equipment and Supplies
  • Mining
  • Occupational Health
  • Safety
• Keywords:
  • Mobile equipment; Physical therapy; Footwear; Sensors; Wearable technologies; Emerging technology; Virtual reality
• ISBN:
  9781538611098
• ISSN:
  2376-8894
• Document Type:
  Text
• Funding:
  Grant
• Genre:
  Proceedings
• Place as Subject:
  Colorado ; Nevada ; New York ; OSHA Region 2 ; OSHA Region 8 ; OSHA Region 9
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Pages in Document:
  5-8
• NIOSHTIC Number:
  nn:20065840
• Citation:
  2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks (BSN), March 4-7, 2018, Las Vegas, Nevada. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2018 Mar; :5-8
• Email:
  wenyaoxu@buffalo.edu
• Federal Fiscal Year:
  2018
• Performing Organization:
  Mount Sinai School of Medicine
• Peer Reviewed:
  False
• Start Date:
  20050701
• Source Full Name:
  2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks (BSN), March 4-7, 2018, Las Vegas, Nevada
• End Date:
  20270630
• Download URL:
  https://stacks.cdc.gov/view/cdc/248722/cdc_248722_DS1.pdf
• File Type:
  [PDF - 913.95 KB]
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:41357becf536af0cd62b8c3baf48c15fffbb4f8a91a102df90c8dfd69dd7db08e91f80ac2bdaf8889a7ebe9cf15dd0e7b3a4fa2ef7f3d2501dc29cceac66ff59