Towards Identification of Hypomimia in Parkinson's Disease Based on Face Recognition Methods
Identifikátory výsledku
Kód výsledku v 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>
Nalezeny alternativní kódy
RIV/65269705:_____/18:00070351 RIV/00159816:_____/18:00070351
Výsledek na webu
<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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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Towards Identification of Hypomimia in Parkinson's Disease Based on Face Recognition Methods
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Towards Identification of Hypomimia in Parkinson's Disease Based on Face Recognition Methods
Popis výsledku anglicky
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.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
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OECD FORD obor
20205 - Automation and control systems
Návaznosti výsledku
Projekt
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Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2018
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
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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Počet stran výsledku
4
Strana od-do
1-4
Název nakladatele
IEEE
Místo vydání
NEW YORK
Místo konání akce
Moscow, RUSSIA
Datum konání akce
5. 11. 2018
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
000459238500052