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Erschienen in:
2019 | OriginalPaper | Buchkapitel
Facial Analysis Method for Pain Detection
verfasst von : Oana Subea, George Suciu
Erschienen in: Future Access Enablers for Ubiquitous and Intelligent Infrastructures
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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.