A Smart Environment-Adapting Timed-Up-and-Go System Powered by Sensor-Embedded Insoles

Details

• Personal Author:
  Langan J ; Lin F ; Song C ; Xu W ; Yang Z ; Langan J ; Lin F ; Song C ; Xu W ; Yang Z
• Description:
  With the growth of the elder population, fall risk evaluation is crucial to prevent elders from serious injuries, as well as reduce related financial burdens. A balance assessment, timed up and go (TUG), has been widely used to estimate fall risk. The standardized TUG focuses on flat ground walking with no environmental variance. Therefore, it falls short of assessing an individual's gait adaptability. Being able to adjust steps in response to environmental changes, for example, needing to navigate around or over a child's toy left on the sidewalk, is essential to avoid fall risk and fundamental to community ambulation. To this end, we propose four environment-adapting TUGs designed to assess one's ability to adapt gait in complex environments and a compatible system named Smart Insole TUG (SITUG), which provides real-time, feature-rich, and ease-of-operation TUG analysis. Based on experimental results, SITUG is capable of extracting gait related spatial-temporal features with all mean accuracies over 92%. Besides, the system achieves a mean accuracy of 92.23% in segmenting five TUG phases. [Description provided by NIOSH]
• Subjects:
  Accidental Falls Accidents Aging Occupational Health Safety
• Keywords:
  Author Keywords: Gait Analysis Emerging Technology Falls Footwear Sensors Signal Processing Walking Surfaces Wearable Computers Wearable Technologies
• ISSN:
  2327-4662
• Document Type:
  Text
• Funding:
  Grant
• Genre:
  Journal Article ; Journal Article
• Place as Subject:
  Colorado ; New York ; OSHA Region 2 ; OSHA Region 8
• CIO:
  National Institute for Occupational Safety and Health (NIOSH) ; National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health ; Workplace Safety & Health
• Location:
  North America ; North America
• Pages in Document:
  1298-1305
• Volume:
  6
• Issue:
  2
• NIOSHTIC Number:
  nn:20068895
• Citation:
  IEEE Internet Things J 2019 Apr; 6(2):1298-1305
• Contact Point Address:
  Wenyao Xu, Department of Computer Science and Engineering, State University of New York at Buffalo, Buffalo, NY, United States
• Email:
  wenyaoxu@buffalo.edu
• Federal Fiscal Year:
  2019
• Performing Organization:
  Mount Sinai School of Medicine
• Peer Reviewed:
  True
• Start Date:
  20050701
• Source Full Name:
  IEEE Internet of Things Journal
• End Date:
  20270630
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:22a77ddf16753e2fd16793c09864010703ed90dffecf9cac4f8fa32ce45cd3393c783a1435d0e4f592ddea687c493b153fe928fb507980108575ab709623407c
• Download URL:
  https://stacks.cdc.gov/view/cdc/207459/cdc_207459_DS1.pdf
• File Type:
  [PDF - 1.81 MB ]