Machine learning classification of emotional videos via autonomic arousal based on pupil diameters, electrodermal activity and heart rate.
- DOI
- 10.1016/j.ijpsycho.2026.113455
- Published
- 2026 Oct
- Container
- International journal of psychophysiology : official journal of the International Organization of Psychophysiology
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1016/j.ijpsycho.2026.113455,
title = {Machine learning classification of emotional videos via autonomic arousal based on pupil diameters, electrodermal activity and heart rate.},
author = {Laeng B and Zambrana I and Hou J and Martinsen ØG and Holm K},
year = {2026},
journal = {International journal of psychophysiology : official journal of the International Organization of Psychophysiology},
doi = {10.1016/j.ijpsycho.2026.113455},
url = {https://doi.org/10.1016/j.ijpsycho.2026.113455}
}RIS
TY - JOUR TI - Machine learning classification of emotional videos via autonomic arousal based on pupil diameters, electrodermal activity and heart rate. AU - Laeng B AU - Zambrana I AU - Hou J AU - Martinsen ØG AU - Holm K PY - 2026 JO - International journal of psychophysiology : official journal of the International Organization of Psychophysiology DO - 10.1016/j.ijpsycho.2026.113455 UR - https://doi.org/10.1016/j.ijpsycho.2026.113455 ER -
APA
B, L., I, Z., J, H., ØG, M., & K, H. (2026). Machine learning classification of emotional videos via autonomic arousal based on pupil diameters, electrodermal activity and heart rate.. International journal of psychophysiology : official journal of the International Organization of Psychophysiology. https://doi.org/10.1016/j.ijpsycho.2026.113455
Source records
- pubmed · retrieved 2026-09-25T23:46:26.619Z
- europe-pmc · retrieved 2026-09-25T23:46:26.645Z