Validation of a novel gait analysis system.

Details

• Personal Author:
  Cavuoto L ; Langan J ; Li Q ; Li Z ; Lin F ; Xu W ; Yang Z
• Description:
  Many researches have proved the significance of gait analysis since it strongly relates to several urgent health issues. As a response, we develop an unobtrusive sensor device, named SennoGait, which provides comprehensive gait information. In this paper, we verify the robustness and reliability of the device's hardware components, including a 16 pressure sensors array and a 9-axis inertial measurement unit with state-of-the-art tools. [Description provided by NIOSH]
• Subjects:
  Engineering Occupational Health Safety
• Keywords:
  Sensors; Wearable technologies; Emerging technology; Body mechanics; Engineering
• ISBN:
  9781509047222
• Publisher:
  Institute of Electrical and Electronics Engineers (IEEE)
• Document Type:
  Text
• Funding:
  Grant
• Genre:
  Proceedings
• Place as Subject:
  New York ; OSHA Region 2 ; OSHA Region 3 ; Pennsylvania
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Pages in Document:
  288-289
• NIOSHTIC Number:
  nn:20065842
• Citation:
  2017 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE), July 17-19, 2017, Philadelphia, Pennsylvania. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2017 Jul; :288-289
• Federal Fiscal Year:
  2017
• Performing Organization:
  Mount Sinai School of Medicine
• Peer Reviewed:
  False
• Start Date:
  20050701
• Source Full Name:
  2017 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE), July 17-19, 2017, Philadelphia, Pennsylvania
• End Date:
  20270630
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:db469ef35bc675ac9479b7568a3fe92fb42372218d0ddbf7214ee13d187153100ff8237a543c25c99b9213dadc186cacc0035c3783193c468ad24bf5092c3554
• Download URL:
  https://stacks.cdc.gov/view/cdc/248715/cdc_248715_DS1.pdf
• File Type:
  [PDF - 2.50 MB ]