Quantifying hypomimia in Parkinson patients using a depth camera

Nomi Vinokurov*, David Arkadir, Eduard Linetsky, Hagai Bergman, Daphna Weinshall

*Corresponding author for this work

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

22 Scopus citations

Abstract

One of Parkinson’s disease early symptoms is called hypomimia (masked facies), and timely detection of this symptom could potentially assist early diagnosis. In this study we developed methods to automatically detect and assess the severity of hypomimia, using machine learning tools and a 3D sensor that allows for fairly accurate facial movements tracking. To evaluate our prediction of hypomimia score for participants not included in the training set, we computed the score’s correlation with hypomimia scores provided by 2 neurologists. The correlations in 4 conditions were 0.84, 0.69, 0.71, 0.70. This should be compared with the correlation between the somewhat subjectives scores of the two neurologists, which is 0.78. When training classifiers to discriminate between people who suffer from hypomimia and people who do not, the area under the curve of the corresponding Receiver Operating Characteristic curves in the same 4 conditions is 0.90 − 0.99. These encouraging results provide proof of concept that automatic evaluation of hypomimia can be sufficiently reliable to be useful for clinical early detection of Parkinson-related hypomimia.

Original languageAmerican English
Title of host publicationPervasive Computing Paradigms for Mental Health - 5th International Conference, MindCare 2015, Revised Selected Papers
EditorsDimitris Giakoumis, Guillaume Lopez, Aleksandar Matic, Silvia Serino, Pietro Cipresso
PublisherSpringer Verlag
Pages63-71
Number of pages9
ISBN (Print)9783319322698
DOIs
StatePublished - 2016
Event5th International Conference on Pervasive Computing Paradigms for Mental Health, MindCare 2015 - Milan, Italy
Duration: 24 Sep 201525 Sep 2015

Publication series

NameCommunications in Computer and Information Science
Volume604
ISSN (Print)1865-0929

Conference

Conference5th International Conference on Pervasive Computing Paradigms for Mental Health, MindCare 2015
Country/TerritoryItaly
CityMilan
Period24/09/1525/09/15

Bibliographical note

Publisher Copyright:
© Springer International Publishing Switzerland 2016.

Keywords

  • 3D camera
  • Affect prediction
  • Facial expressions
  • Hypomimia
  • Parkinson’s disease

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