Automated Affective Computing Based on Bio-Signals Analysis and Deep Learning Approach.
- DOI
- 10.3390/s22051789
- Published
- 2022 Feb 24
- Container
- Sensors (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/s22051789,
title = {Automated Affective Computing Based on Bio-Signals Analysis and Deep Learning Approach.},
author = {Filippini C and Di Crosta A and Palumbo R and Perpetuini D and Cardone D and Ceccato I and Di Domenico A and Merla A},
year = {2022},
journal = {Sensors (Basel, Switzerland)},
doi = {10.3390/s22051789},
url = {https://doi.org/10.3390/s22051789}
}RIS
TY - JOUR TI - Automated Affective Computing Based on Bio-Signals Analysis and Deep Learning Approach. AU - Filippini C AU - Di Crosta A AU - Palumbo R AU - Perpetuini D AU - Cardone D AU - Ceccato I AU - Di Domenico A AU - Merla A PY - 2022 JO - Sensors (Basel, Switzerland) DO - 10.3390/s22051789 UR - https://doi.org/10.3390/s22051789 ER -
APA
C, F., A, D. C., R, P., D, P., D, C., I, C., A, D. D., & A, M. (2022). Automated Affective Computing Based on Bio-Signals Analysis and Deep Learning Approach.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s22051789
Source records
- pubmed · retrieved 2026-11-11T04:37:47.510Z