TransKinect: a computer vision and machine learning clinical decision support system for automatic independent wheelchair transfer technique assessment.

Journal: Disability and rehabilitation. Assistive technology
PMID:

Abstract

BACKGROUND: Physical and occupational therapists provide routine care for manual wheelchair users and are responsible for training and assessing the quality of transfers. These transfers can produce large loads on the upper extremity joints if improper sitting-pivot-technique is used. Methods to assess quality of transfers include the Transfer Assessment Instrument, a clinically validated tool derived from quantitative biomechanical features; however, adoption of this tool is low due to the complex usage requirements and speed of typical transfers.

Authors

  • Ahlad Neti
    Human Engineering Research Laboratories, VA Pittsburgh HealthCare System, Pittsburgh, PA, USA.
  • Cheng-Shiu Chung
    a Department of Veterans Affairs , Human Engineering Research Laboratories , Pittsburgh , PA , USA.
  • Nithin Ayiluri
    Human Engineering Research Laboratories, VA Pittsburgh HealthCare System, Pittsburgh, PA, USA.
  • Brooke A Slavens
    Department of Mechanical Engineering, College of Engineering and Applied Science, University of WI Milwaukee, Milwaukee, WI, USA.
  • Alicia M Koontz