EMOTION RECOGNITION USING PUPILLOMETRY AND DEEP LEARNING: A SUMMARY.

This research explores how pupillometry can be used to recognize emotions by studying changes in pupil size in reaction to emotional cues. Sophisticated machine learning models such as CNNs, transformer-based structures, and ensemble methods are utilized to tackle the difficulties of real-time appli...

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Publicado en:	InSight: Rivier Academic Journal Vol. 20; no. 1; pp. 1 - 10
Autores principales:	Gorantla, Venkatasai, Vasantada, Anoohya, Arthimalla, Bhavanika, Barker, Darlien
Formato:	Artículo
Publicado:	Rivier College (InSight: Rivier Academic Journal) Fall2025
Materias:	Pupillometry Deep learning Multimodal user interfaces Machine learning Emotion recognition Adaptive control systems Real-time computing Neurophysiology
Acceso en línea:	Ver este registro en EBSCOhost