Vol-3368
urn:nbn:de:0074-3368-5

Copyright © 2022 for the individual papers by the papers' authors. Copyright © 2022 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

AIxHMI 2022
Artificial Intelligence for Human Machine Interaction 2022

Proceedings of the 1st Workshop on Artificial Intelligence for Human Machine Interaction 2022
co-located with the 21st International Conference of the Italian Association for Artificial Intelligence (AIxIA 2022)

Udine, Italy, December 02, 2022.

Edited by

Aurora Saibene ^1,2
Silvia Corchs ^2,3
Jordi Solé-Casals ⁴

¹ University of Milano-Bicocca, Viale Sarca 336, 20126, Milano, Italy
² NeuroMI, Milan Center for Neuroscience, Piazza dell’Ateneo Nuovo 1, 20126, Milano, Italy
³ University of Insubria, Via J. H. Dunant 3, 21100, Varese, Italy
⁴ University of Vic-Central University of Catalonia, C de la Laura 13, 08500, Vic, Barcelona, Spain

Table of Contents

Preface
Summary: There were 8 papers submitted for peer-review to this workshop. Out of these, 5 papers were accepted for this volume, 4 as regular papers and 1 as short paper. An additional submission was accepted as an abstract.

Invited Talks

Evolution of EEG systems from high density to wearables: opportunities for expansion
Marta Molinas
Current and future applications of brain computer interfaces
Slobodan Tanackovic
STAT-ON: monitoring mobility in Parkinson's Disease. From research to market
Daniel Rodriguez-Martin
Head mounted displays and physiological sensing for human machine interaction
Evangelos Niforatos

Papers

Bridging the gap between human-gaze data and table summarisation (short paper) 1-8
Jessica Amianto Barbato, Marco Cremaschi
The evolution of AI approaches for motor imagery EEG-based BCIs (regular paper) 9-23
Aurora Saibene, Silvia Corchs, Mirko Caglioni, Francesca Gasparini
Let’s put a smile on your face (regular paper) 24-33
Marcis Teodors Upenieks, Evalds Urtans
Human emotion recognition from EEG signals: model evaluation in DEAP and SEED datasets (regular paper) 34-47
Mohit Kumar, Marta Molinas
Inner speech recognition through electroencephalographic signals (regular paper) 48-61
Francesca Gasparini, Elisa Cazzaniga, Aurora Saibene

Abstracts

The bias of artificial intelligence within the justice field
Ludovico Papalia

2022-03-20: submitted by Aurora Saibene, metadata incl. bibliographic data published under Creative Commons CC0
2023-04-03: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|