Research Article
Facial Analysis Method for Pain Detection
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@INPROCEEDINGS{10.1007/978-3-030-23976-3_17, author={Oana Subea and George Suciu}, title={Facial Analysis Method for Pain Detection}, proceedings={Future Access Enablers for Ubiquitous and Intelligent Infrastructures. 4th EAI International Conference, FABULOUS 2019, Sofia, Bulgaria, March 28-29, 2019, Proceedings}, proceedings_a={FABULOUS}, year={2019}, month={9}, keywords={Image processing Facial recognition HOG(Histogram of oriented Gradients) Random Forest DLIB}, doi={10.1007/978-3-030-23976-3_17} }- Oana Subea
George Suciu
Year: 2019
Facial Analysis Method for Pain Detection
FABULOUS
Springer
DOI: 10.1007/978-3-030-23976-3_17
Abstract
Facial expression recognition has been an active research topic for many years. In this paper a method for automatically recognizing pain intensity in images with facial expressions will be implemented. The method presented will contain a first step in which the face and the important points on the face will be located using the DLIB library. The second step consists of the calculation of HOG-type traits in order to describe the face found. The traits will be used to train a Random Forest (RF) regressor that will estimate the intensity of the pain. Training and testing will be done on the public UNBC-McMaster shoulder Pain Expression Archive database, using Python programming.
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