=Paper=
{{Paper
|id=Vol-3903/invited3
|storemode=property
|title=The role of physiological signals in human-machine interaction
|pdfUrl=https://ceur-ws.org/Vol-3903/AIxHMI2024_invited3.pdf
|volume=Vol-3903
|authors=Angelika Peer
|dblpUrl=https://dblp.org/rec/conf/aixhmi/Peer24
}}
==The role of physiological signals in human-machine interaction==
<pdf width="1500px">https://ceur-ws.org/Vol-3903/AIxHMI2024_invited3.pdf</pdf>
<pre>
                         The role of physiological signals in human-machine
                         interaction
                         Angelika Peer1,*
                         1
                             NOI Techpark - Bruno-Buozzi-Straße 1 - via Bruno Buozzi, 1 - Italy - 39100, Bozen-Bolzano


                                        Abstract
                                        Novel human-machine interfaces not only consider verbal and touch interactions or interactions via gestures
                                        and facial expressions, but also exploit physiological signals. Physiological signals combined with contextual
                                        information, allow not only for the prediction of intentions related to what a person may intend to do, but also
                                        the how. In this talk, I will describe how physiological signals like heart rate, respiration rate, skin conductance,
                                        and electroencephalogram can be exploited to build brain and body computer interfaces and how recognized
                                        intentions and emotions can be mapped to real world adaptive actions.

                                        Keywords
                                        Human-machine interfaces, Contextual information, Heart rate, Respiration rate, Skin conductance, Electroen-
                                        cephalogram




                          Italian Workshop on Artificial Intelligence for Human Machine Interaction (AIxHMI 2024), November 26, 2024, Bolzano, Italy
                         *
                           Corresponding author.
                          $ Angelika.Peer@unibz.it (A. Peer)
                                       © 2024 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).


CEUR
                  ceur-ws.org
Workshop      ISSN 1613-0073
Proceedings

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