Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Andrea Farabbi"'
Autor:
Edoardo M. Polo, Andrea Farabbi, Maximiliano Mollura, Alessia Paglialonga, Luca Mainardi, Riccardo Barbieri
Publikováno v:
IEEE Journal of Translational Engineering in Health and Medicine, Vol 12, Pp 171-181 (2024)
The study of emotions through the analysis of the induced physiological responses gained increasing interest in the past decades. Emotion-related studies usually employ films or video clips, but these stimuli do not give the possibility to properly s
Externí odkaz:
https://doaj.org/article/21e5dda7713b4fc4a8cea3815803904c
Publikováno v:
Frontiers in Human Neuroscience, Vol 17 (2024)
Emotions significantly shape decision-making, and targeted emotional elicitations represent an important factor in neuromarketing, where they impact advertising effectiveness by capturing potential customers' attention intricately associated with emo
Externí odkaz:
https://doaj.org/article/74a7f4ad4e15410f873c86d1706cc93b
Autor:
Andrea Farabbi, Luca Mainardi
Publikováno v:
Sensors, Vol 23, Iss 22, p 9049 (2023)
We present a novel architecture designed to enhance the detection of Error Potential (ErrP) signals during ErrP stimulation tasks. In the context of predicting ErrP presence, conventional Convolutional Neural Networks (CNNs) typically accept a raw EE
Externí odkaz:
https://doaj.org/article/e3bfa752d8a1476d928dde91d2dd4a51
Autor:
Andrea Farabbi, Patricia Figueiredo, Fabiola Ghiringhelli, Luca Mainardi, Joao Miguel Sanches, Plinio Moreno, Jose Santos-Victor, Athanasios Vourvopoulos
Publikováno v:
Frontiers in Neuroergonomics, Vol 4 (2023)
IntroductionMotor Imagery (MI)-based Brain Computer Interfaces (BCI) have raised gained attention for their use in rehabilitation therapies since they allow controlling an external device by using brain activity, in this way promoting brain plasticit
Externí odkaz:
https://doaj.org/article/4869082d6c88458e939b407657c984a1
Autor:
Andrea Farabbi, Luca Mainardi
Publikováno v:
Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1815040f188c4c843e8589ed535f2394
https://doi.org/10.5220/0011682400003414
https://doi.org/10.5220/0011682400003414
Publikováno v:
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).
Emotions processing is a complex mechanism that involves different physiological systems. In particular, the Central Nervous System (CNS) is considered to play a key role in this mechanism and one of the main modalities to study the CNS activity is t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f45de8236bb926ebae1b9b97fdfb459
https://doi.org/10.1109/embc48229.2022.9871725
https://doi.org/10.1109/embc48229.2022.9871725
Autor:
Edoardo Maria, Polo, Andrea, Farabbi, Maximiliano, Mollura, Riccardo, Barbieri, Alessia, Paglialonga, Luca, Mainardi
Publikováno v:
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).
Many studies in the literature attempt recognition of emotions through the use of videos or images, but very few have explored the role that sounds have in evoking emotions. In this study we have devised an experimental protocol for elicitation of em
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fe823033d9b07dc9fc0485decd2e0f85
https://doi.org/10.1109/embc48229.2022.9871493
https://doi.org/10.1109/embc48229.2022.9871493
Autor:
Andrea Farabbi, Luca Mainardi
Publikováno v:
2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5ca9aa63aea63cb6d2abc4c163c468f
https://doi.org/10.1109/melecon53508.2022.9842955
https://doi.org/10.1109/melecon53508.2022.9842955
Publikováno v:
Journal of Neural Engineering. 19:036023
Objective. Deep learning algorithms employed in brain computer interfaces (BCIs) need large electroencephalographic (EEG) datasets to be trained. These datasets are usually unbalanced, particularly when error potential (ErrP) experiment are considere
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f2e2a3a2382a8f135213dcbbc08bfa9b
https://doi.org/10.1088/1741-2552/ac6d7f
https://doi.org/10.1088/1741-2552/ac6d7f
Autor:
Laura Santos, José Santos-Victor, Ivana Olivieri, Claudia Casellato, Andrea Farabbi, Alice Geminiani, Nicola Farella, Alessandra Pedrocchi
Publikováno v:
EMBC
Socially assistive robots have shown potential benefits in therapy of child and elderly patients with social and cognitive deficits. In particular, for autistic children, humanoid robots could enhance engagement and attention, thanks to their simplif
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::febc48a8ee976f28dba455f33dde08be
https://doi.org/10.1109/embc.2019.8857576
https://doi.org/10.1109/embc.2019.8857576