ThermICA: Novel Approach for a Multivariate Analysis of Facial Thermal Responses
Our findings validate the efficacy of features extracted from both original and thermal-derived signals for differentiating experimental conditions. This outcome emphasizes the sensitivity and promise of our approach, advocating for expanded investigations into thermal imaging within biomedical signal analysis. It underscores its potential for enhancing objective assessments of emotional states.
Authors
- Enzo Pasquale Scilingo (ORCID: https://orcid.org/0000-0003-2588-4917)
- Luca Citi (ORCID: https://orcid.org/0000-0001-8702-5654)
- Alejandro Luis Callara (ORCID: https://orcid.org/0000-0003-2767-0699)
- Federica Gioia (ORCID: https://orcid.org/0000-0001-6313-5162)
- Nicola Vanello (ORCID: https://orcid.org/0000-0002-2312-6699)
- Alberto Greco (ORCID: https://orcid.org/0000-0002-4822-5562)
Institutions
- University of Pisa (IT)
- University of Essex (GB)
- Piaggio (Italy) (IT)
Publication Details
- Journal
- IEEE Transactions on Biomedical Engineering
- Published
- 2024-10-25
- DOI
- https://doi.org/10.1109/tbme.2024.3486628
- Citations
- 1
- Primary Topic
- Advanced Chemical Sensor Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.18
Funders
- Dipartimenti di Eccellenza
- European Commission
- Ministero dell’Istruzione, dell’Università e della Ricerca