Automated Assessment of Postural Stability (AAPS)

Abstract

The purpose of this research has been to develop a mobile motion capture system that is capable of quantifying a persons sense of balance, which can in turn be used as a proxy for assessing concussion or musculoskeletal injury. During this research period, we have developed (1) a baseline system based on the Microsoft Kinect motion tracker, (2) a graphical user interface, and (3) algorithms of automated balance scoring. Furthermore, we have begun the process of testing with human volunteers and used our preliminary data to quantify system calibration and limitations of performance. We have also compared our systems performance against that of human experts and determined that our system is in general more reliable.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2016
Accession Number
AD1033349

Entities

People

  • Alessandro Napoli
  • Carole Tucker
  • Iyad Obeid
  • Stephen Glass

Organizations

  • Temple University

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Algorithms
  • Brain Injuries
  • Calibration
  • Computer Programming
  • Computers
  • Concussion
  • Cross Correlation
  • Graphical User Interface
  • Mathematics
  • Motion Capture
  • Operating Systems
  • Software Development
  • Standards
  • Students
  • Test And Evaluation
  • Three Dimensional
  • User Interface

Fields of Study

  • Computer science

Readers

  • Computer Vision.
  • Instructional Design and Training Evaluation.
  • Neurotrauma and Rehabilitation Medicine.