Towards Identification of Hypomimia in Parkinson's Disease Based on Face Recognition Methods

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14110%2F18%3A00113819" target="_blank" >RIV/00216224:14110/18:00113819 - isvavai.cz</a>
Alternative codes found
RIV/65269705:_____/18:00070351 RIV/00159816:_____/18:00070351
Result on the web
<a href="https://ieeexplore.ieee.org/document/8631249" target="_blank" >https://ieeexplore.ieee.org/document/8631249</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Towards Identification of Hypomimia in Parkinson's Disease Based on Face Recognition Methods
Original language description
Hypomimia manifested as an expressionless face with little or no sense of animation is a typical symptom of Parkinson's disease (PD). Although some researchers tried to quantify and diagnose the hypomimia based on the analysis of video-recordings, a study dealing with a possibility of its identification using the simple static face analysis is missing. The goal of this work is therefore to verify whether PD hypomimia can be detected even from static face images. For this purpose we enrolled 50 PD patients and 50 age-and gender-matched healthy controls. Parameterization based on face recognition methods in combination with conventional classifiers (random forests, XG-Boost, etc.) were used to automatically identify PD hypomimia. Among the classifiers, the decision tree algorithm achieved the best accuracy (67.33 %). The results suggest that automatic static face analysis can support PD hypomimia diagnosis, nevertheless is not accurate enough to outperform the approaches based on video-recordings processing.
Czech name
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Czech description
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Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
2018 10TH INTERNATIONAL CONGRESS ON ULTRA MODERN TELECOMMUNICATIONS AND CONTROL SYSTEMS AND WORKSHOPS (ICUMT 2018): EMERGING TECHNOLOGIES FOR CONNECTED SOCIETY
ISBN
9781538693605
ISSN
2157-0221
e-ISSN
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Number of pages
4
Pages from-to
1-4
Publisher name
IEEE
Place of publication
NEW YORK
Event location
Moscow, RUSSIA
Event date
Nov 5, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000459238500052

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