@inbook{11b3d2586bac4de9b395e2d97ae50b36,
title = "Psychophysiological state changes assesment based on thermal face image—preliminary results",
abstract = "The analysis of the patient{\textquoteright}s psychophysiological condition is one of the key elements of properly conducted therapy. In the therapeutic tasks special attention is paid to monitoring the patient{\textquoteright}s condition. Our method proposed a robust for segmentation errors (based on median value) and an easily applied method for assessing the thermal profile of the face and its usage in psychophysiological state observation. The obtained results suggest that the central part of the face provides sufficient information to discriminate between an active and a non active individual, even during minor physical effort.",
keywords = "Behavioural biometrics, Human activity recognition, Physiotherapy, Thermal imaging",
author = "Marta Danch-Wierzchowska and Marcin Bugdol and \{W. Mitas\}, Andrzej",
note = "Publisher Copyright: {\textcopyright} The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021.",
year = "2021",
doi = "10.1007/978-3-030-49666-1\_14",
language = "English",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer",
pages = "175--185",
booktitle = "Advances in Intelligent Systems and Computing",
address = "Germany",
}