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pro vyhledávání: '"Heimerl, Alexander"'
Autor:
Müller, Philipp, Balazia, Michal, Baur, Tobias, Dietz, Michael, Heimerl, Alexander, Penzkofer, Anna, Schiller, Dominik, Brémond, François, Alexandersson, Jan, André, Elisabeth, Bulling, Andreas
Estimating the momentary level of participant's engagement is an important prerequisite for assistive systems that support human interactions. Previous work has addressed this task in within-domain evaluation scenarios, i.e. training and testing on t
Externí odkaz:
http://arxiv.org/abs/2408.16625
Autor:
Müller, Philipp, Heimerl, Alexander, Hossain, Sayed Muddashir, Siegel, Lea, Alexandersson, Jan, Gebhard, Patrick, André, Elisabeth, Schneeberger, Tanja
Human emotions are often not expressed directly, but regulated according to internal processes and social display rules. For affective computing systems, an understanding of how users regulate their emotions can be highly useful, for example to provi
Externí odkaz:
http://arxiv.org/abs/2408.04420
Autor:
Müller, Philipp, Balazia, Michal, Baur, Tobias, Dietz, Michael, Heimerl, Alexander, Schiller, Dominik, Guermal, Mohammed, Thomas, Dominike, Brémond, François, Alexandersson, Jan, André, Elisabeth, Bulling, Andreas
Automatic analysis of human behaviour is a fundamental prerequisite for the creation of machines that can effectively interact with- and support humans in social interactions. In MultiMediate'23, we address two key human social behaviour analysis tas
Externí odkaz:
http://arxiv.org/abs/2308.08256
Autor:
Heimerl, Alexander, Prajod, Pooja, Mertes, Silvan, Baur, Tobias, Kraus, Matthias, Liu, Ailin, Risack, Helen, Rohleder, Nicolas, André, Elisabeth, Becker, Linda
We present a multi-modal stress dataset that uses digital job interviews to induce stress. The dataset provides multi-modal data of 40 participants including audio, video (motion capturing, facial recognition, eye tracking) as well as physiological i
Externí odkaz:
http://arxiv.org/abs/2303.07742
Autor:
Heimerl, Alexander, Mertes, Silvan, Schneeberger, Tanja, Baur, Tobias, Liu, Ailin, Becker, Linda, Rohleder, Nicolas, Gebhard, Patrick, André, Elisabeth
Job interviews are usually high-stakes social situations where professional and behavioral skills are required for a satisfactory outcome. Professional job interview trainers give educative feedback about the shown behavior according to common standa
Externí odkaz:
http://arxiv.org/abs/2206.03869
With the ongoing rise of machine learning, the need for methods for explaining decisions made by artificial intelligence systems is becoming a more and more important topic. Especially for image classification tasks, many state-of-the-art tools to ex
Externí odkaz:
http://arxiv.org/abs/2012.11905
Akademický článek
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Akademický článek
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Modelling and recognising affective and mental user states is an urging topic in multiple research fields. This work suggests an approach towards adequate recognition of such states by combining state-of-the-art behaviour recognition classifiers in a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3341::603156752eebd3f2f89a3cf78f2cf0e7
https://opus.bibliothek.uni-augsburg.de/opus4/files/101572/101572.pdf
https://opus.bibliothek.uni-augsburg.de/opus4/files/101572/101572.pdf
Autor:
Heimerl, Alexander, Mertes, Silvan, Schneeberger, Tanja, Baur, Tobias, Liu, Ailin, Becker, Linda, Rohleder, Nicolas, Gebhard, Patrick, André, Elisabeth
Job interviews are usually high-stakes social situations where professional and behavioral skills are required for a satisfactory outcome. Professional job interview trainers give educative feedback about the shown behavior according to common standa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::44ed70e3802811a8728f254f04599474
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/101560
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/101560