Kinect v2 accuracy as a body segment measuring tool

V. Espinoza Bemal, N. A. Satterthwaite, A. Napoli, S. M. Glass, C. A. Tucker, I. Obeid

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Mild traumatic brain injury (mTBI) and/or concussion is the leading cause of injury related to recent U.S. military conflicts. Among other symptoms, injured service members often present with impaired balance. Several field-expedient test batteries have been developed to evaluate balance deficits in this context; however, such tests suffer from limitations associated with human observation and scoring. In order to address these limitations, we have developed the Automated Assessment of Postural Stability (AAPS) system, a computerized balance measurement tool which automates the frequently-administered Balance Error Scoring System [1], [2]. The AAPS is based on the Microsoft Kinect v2, a markerless, portable and low-cost alternative to laboratory-grade motion tracking systems. This hardware integrates an array of sensors including an HD camera, infrared, and depth sensors. The Microsoft proprietary skeletal tracking algorithm [3] estimates coordinates for up to 25 body joint centers which are used to recreate a stick model representation of the subject. All tracking data is encapsulated in a 'body frame' stream generated at a variable frame rate of up to 30 fps.

Original languageEnglish (US)
Title of host publication2017 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-3
Number of pages3
ISBN (Electronic)9781538648735
DOIs
StatePublished - Jul 1 2017
Externally publishedYes
Event2017 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2017 - Philadelphia, United States
Duration: Dec 2 2017 → …

Publication series

Name2017 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2017 - Proceedings
Volume2018-January

Conference

Conference2017 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2017
Country/TerritoryUnited States
CityPhiladelphia
Period12/2/17 → …

ASJC Scopus subject areas

  • Clinical Neurology
  • Cardiology and Cardiovascular Medicine
  • Signal Processing
  • Health Informatics

Fingerprint

Dive into the research topics of 'Kinect v2 accuracy as a body segment measuring tool'. Together they form a unique fingerprint.

Cite this