Abstract
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 [1]. In this paper the Emotion system for detecting and recognizing facial expressions, developed in the MSc work [2], 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 [3, 4].
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Kowalczuk, Z., Chudziak, P. (2018). Identification of Emotions Based on Human Facial Expressions Using a Color-Space Approach. In: Kościelny, J., Syfert, M., Sztyber, A. (eds) Advanced Solutions in Diagnostics and Fault Tolerant Control. DPS 2017. Advances in Intelligent Systems and Computing, vol 635. Springer, Cham. https://doi.org/10.1007/978-3-319-64474-5_24
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