This paper is in the following e-collection/theme issue:

Biomechanics (7) Emerging Technologies for Rehabilitation (255) Innovations in Exercise Rehabilitation (211) Computational modeling of biological processes (12) Development of Novel Medical Devices and Innovations for Existing Devices (76)

Published on in Vol 4, No 1 (2019): Jan-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12291, first published .
Determining the Accuracy of Oculus Touch Controllers for Motor Rehabilitation Applications Using Quantifiable Upper Limb Kinematics: Validation Study

Determining the Accuracy of Oculus Touch Controllers for Motor Rehabilitation Applications Using Quantifiable Upper Limb Kinematics: Validation Study

Determining the Accuracy of Oculus Touch Controllers for Motor Rehabilitation Applications Using Quantifiable Upper Limb Kinematics: Validation Study

Authors of this article:

Leia C Shum1 Author Orcid Image ;   Bulmaro A Valdés1 Author Orcid Image ;   HF Machiel Van der Loos1 Author Orcid Image
Article Authors Cited by (19) Tweetations (7) Metrics

Leia C Shum   1 , BASc ;   Bulmaro A Valdés   1 , BEng, MPE, PhD ;   HF Machiel Van der Loos   1 , PEng, PhD

1 RREACH (Robotics for Rehabilitation Exercise and Assessment in Collaborative Healthcare) Lab, Department of Mechanical Engineering, The University of British Columbia, Vancouver, BC, Canada

Corresponding Author:

  • Leia C Shum, BASc
  • RREACH (Robotics for Rehabilitation Exercise and Assessment in Collaborative Healthcare) Lab
  • Department of Mechanical Engineering
  • The University of British Columbia
  • ICICS X015
  • 2335 Engineering Rd
  • Vancouver, BC, V6T 1Z4
  • Canada
  • Phone: 1 (604)-822-3147
  • Email: lcshum@alumni.ubc.ca