Motion Analysis on Depth Camera Data to Quantify Parkinson's Disease Patients' Motor Status Within the Framework of I-Prognosis Personalized Game Suite

Sofia B. Dias, Athina Grammatikopoulou, Nikos Grammalidis, Jose A. Diniz, Theodore Savvidis, Evdokimos Konstantinidis, Panagiotis Bamidis, Michael Stadtschnitzer, Dhaval Trivedi, Lisa Klingelhoefer, Zoe Katsarou, Sevasti Bostantzopoulou, Kosmas Dimitropoulos, Leontios J. Hadjileontiadis

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

The primary manifestations of Parkinson Disease (PD) concern abnormalities of movement associated with the constant deterioration of motor skills. Such motor impairment affects patients' movement accuracy and coordination, disrupting their daily life. Taking into account recent studies stating that computer-based physical therapy games can be used as a PD rehabilitation option, we propose a novel Exergame, the iPrognosis Warming up Game (http://www.i-prognosis.eu/), as a user-friendly tool that could both serve as a computer-based physical therapy game, as well as a means of accurately and automatically identifying the severity of PD motor symptoms. To this regard, we propose a novel deep learning methodology for motor impairment stage prediction that relies solely on human body motion data extracted from the recorded game sessions. Experimental results using a dataset of both early and advanced PD patients reveal a good classification performance of the proposed methodology, predicting the motor impairment stage of PD patients and paving the way for additional research in the field.

Original languageBritish English
Title of host publication2020 IEEE International Conference on Image Processing, ICIP 2020 - Proceedings
PublisherIEEE Computer Society
Pages3264-3268
Number of pages5
ISBN (Electronic)9781728163956
DOIs
StatePublished - Oct 2020
Event2020 IEEE International Conference on Image Processing, ICIP 2020 - Virtual, Abu Dhabi, United Arab Emirates
Duration: 25 Sep 202028 Sep 2020

Publication series

NameProceedings - International Conference on Image Processing, ICIP
Volume2020-October
ISSN (Print)1522-4880

Conference

Conference2020 IEEE International Conference on Image Processing, ICIP 2020
Country/TerritoryUnited Arab Emirates
CityVirtual, Abu Dhabi
Period25/09/2028/09/20

Keywords

  • Deep learning
  • i-PROGNOSIS
  • iPrognosis Personalized Game Suite
  • Motor Status
  • Parkinson's Disease

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