书目名称 | Machine Learning Systems for Multimodal Affect Recognition |
编辑 | Markus Kächele |
视频video | |
概述 | A Study in Neuroinformatics |
图书封面 |  |
描述 | .Markus Kächele offers a detailed view on the different steps in the affective computing pipeline, ranging from corpus design and recording over annotation and feature extraction to post-processing, classification of individual modalities and fusion in the context of ensemble classifiers. He focuses on multimodal recognition of discrete and continuous emotional and medical states. As such, specifically the peculiarities that arise during annotation and processing of continuous signals are highlighted. Furthermore, methods are presented that allow personalization of datasets and adaptation of classifiers to new situations and persons. . |
出版日期 | Book 2020 |
关键词 | Neural Networks; Machine Learning; Multimodal Affect Recognition; Affective Computing; Pain Intensity Es |
版次 | 1 |
doi | https://doi.org/10.1007/978-3-658-28674-3 |
isbn_softcover | 978-3-658-28673-6 |
isbn_ebook | 978-3-658-28674-3 |
copyright | Springer Fachmedien Wiesbaden GmbH, part of Springer Nature 2020 |