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RAJNOHA, M. BURGET, R. MEKYSKA, J. ELIÁŠOVÁ, I. KOŠŤÁLOVÁ, M. REKTOROVÁ, I.
Originální název
Towards Identification of Hypomimia in Parkinson’s Disease Based on Face Recognition Methods
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
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, XGBoost, 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.
Klíčová slova
Parkinson’s disease; hypomimia; face recognition; machine learning
Autoři
RAJNOHA, M.; BURGET, R.; MEKYSKA, J.; ELIÁŠOVÁ, I.; KOŠŤÁLOVÁ, M.; REKTOROVÁ, I.
Vydáno
6. 11. 2018
Místo
Moskva
ISBN
978-1-5386-9361-2
Kniha
2018 10th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)
Strany od
182
Strany do
185
Strany počet
4
URL
https://ieeexplore.ieee.org/document/8631249
BibTex
@inproceedings{BUT150875, author="Martin {Rajnoha} and Radim {Burget} and Jiří {Mekyska} and Ilona {Eliášová} and Milena {Košťálová} and Irena {Rektorová}", title="Towards Identification of Hypomimia in Parkinson’s Disease Based on Face Recognition Methods", booktitle="2018 10th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)", year="2018", pages="182--185", address="Moskva", doi="10.1109/ICUMT.2018.8631249", isbn="978-1-5386-9361-2", url="https://ieeexplore.ieee.org/document/8631249" }