[POSTER] ChiroChroma: An Augmented Reality Game for the Assessment of Hand Motor Functionality

Jeffrey Goderie, Rustam Alashrafov, Pieter Jockin, Lu Liu, Xin Liu, Marina Cidota, Stephan Lukosch

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

1 Citation (Scopus)
35 Downloads (Pure)

Abstract

For a better understanding of how different diseases (e.g. neurovascular diseases, neurodegenerative diseases, and musculoskeletal pain conditions) affect human motor function, a uniform, standardized and objective evaluation is a desirable goal expressed within the clinical community. We explore the capabilities of an augmented reality (AR) game that uses free hand interaction to facilitate an objective assessment of the upper extremity motor dysfunction. First, the design process of the game and the system architecture are described. Second, a study about usability of the AR framework and game engagement is presented based on an experiment we conducted with five patients and ten healthy people. Lastly, a short analysis of the accuracy of the hand data when participants performed “fingers tapping” gesture is done. The results of the study show that even though users experienced the system as physically and mentally demanding, it was engaging enough to make them complete the game. The study also shows that hand data captured is accurate enough to allow a high degree (95%) of pinching gesture recognition.
Original languageEnglish
Title of host publicationProceedings of 2017 IEEE International Symposium on Mixed and Augmented Reality Adjunct
PublisherIEEE
Pages115-120
Number of pages6
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

  • Augmented Reality Games
  • Usability
  • Engagement
  • Upper Extremity Motor Dysfunction
  • Assessment
  • Parkinson's Disease
  • Stroke patients

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