Assessing Upper Extremity Motor Dysfunction Using an Augmented Reality Game

Marina Cidota, Paulina J.M. Bank, P.W. Ouwehand, Stephan Lukosch

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

62 Downloads (Pure)

Abstract

Advances in technology offer new opportunities for a better understanding of how different disorders affect motor function. In this paper, we explore the potential of an augmented reality (AR) game implemented using free hand and body tracking to develop a uniform, cost-effective and objective methods for evaluation of upper extremity motor dysfunction in different patient groups. We conducted a study with 20 patients (10 Parkinson’s Disease patients and 10 stroke patients) who performed hand/arm movement tasks in four different conditions in AR and one condition in real world. Despite usability issues mainly due to non-robust hand tracking, the patients were moderately engaged while playing the AR game. Our findings show that moving virtual objects was less targeted, took more time and was associated with larger trunk displacement and a lower variability of elbow angle and upper arm angle than moving real objects. No significant correlations were observed between characteristics of movements in AR and movements in the real world. Still, our findings suggest that the AR game may be suitable for assessing the hand and arm function of mildly affected patients if usability can be further improved.
Original languageEnglish
Title of host publicationProceedings of 2017 IEEE International Symposium on Mixed and Augmented Reality Adjunct
PublisherIEEE
Pages144-154
Number of pages11
DOIs
Publication statusPublished - 2017
Event2017 IEEE International Symposium on Mixed and Augmented Reality (ISMAR-Adjunct) - Nantes, France
Duration: 9 Oct 201713 Oct 2017

Conference

Conference2017 IEEE International Symposium on Mixed and Augmented Reality (ISMAR-Adjunct)
CountryFrance
CityNantes
Period9/10/1713/10/17

Keywords

  • HMD
  • Video see-through
  • Optical see-through

Fingerprint Dive into the research topics of 'Assessing Upper Extremity Motor Dysfunction Using an Augmented Reality Game'. Together they form a unique fingerprint.

Cite this