Advancing emotion recognition with Virtual Reality: A multimodal approach using physiological signals and machine learning
The proposed study demonstrates efficacy of VR in eliciting genuine emotions and the potential of using physiological signals for emotion recognition, with important implications for affective computing and psychological research. The non-invasive approach, robust subject-independent generalizability, and compatibility with wearable technology position this methodology favorably for practical applications in mental health contexts and user experience evaluation.
Authors
- Edoardo Maria Polo (ORCID: https://orcid.org/0000-0003-0432-1314)
- Alberto Valdes Rey
- Alessia Paglialonga (ORCID: https://orcid.org/0000-0002-1341-2560)
- Riccardo Barbieri (ORCID: https://orcid.org/0000-0003-0980-3136)
- Davide Ferraris
- Francesco Iacomi
Institutions
- Institute of Electronics, Computer and Telecommunication Engineering (IT)
- Lega Italiana per la Lotta ai Tumori (IT)
- Politecnico di Milano (IT)
Publication Details
- Journal
- Computers in Biology and Medicine
- Published
- 2025-05-26
- DOI
- https://doi.org/10.1016/j.compbiomed.2025.110310
- Citations
- 6
- Primary Topic
- Emotion and Mood Recognition
- Type
- article
- Field-Weighted Citation Impact
- 12.71
Funders
- Ministero dell'Università e della Ricerca