Identification of Emotions Based on Human Facial Expressions Using a Color-Space Approach
HCI technology improves human-computer interaction. Such communication can be carried out with the use of emotions that are visible on the human face since birth. In this paper the Emotion system for detecting and recognizing facial expressions, developed in the MSc work, is presented. The system recognizes emotion from webcam video in real time. It is based on color segmentation and morphological operations. The system uses a cascade of boosted classifiers based on Haar-like features, to locate the face and to reduce the searched area for characteristic points. For identification purposes, the Emotion system uses an expanded action unit EAU, based on a facial action coding system FACS.
Zdzisław Kowalczuk, Piotr Chudziak. (2018). Identification of Emotions Based on Human Facial Expressions Using a Color-Space Approach, 635, 291-303. https://doi.org/10.1007/978-3-319-64474-5_24
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