Multimodal Learning

egoEMOTION: Egocentric Vision and Physiological Signals for Emotion and Personality Recognition in Real-World Tasks

A new multimodal dataset and architecture combining egocentric vision and physiological signals for in-the-wild emotion and personality recognition, presented at NeurIPS 2025 …

m.-jammot

• Dec 1, 2025 • 1 min read

Affective Computing

Affective State Prediction from Smartphone Touch and Sensor Data in the Wild

Multimodal affective state prediction from smartphone touch and sensor data in naturalistic conditions, using deep learning fusion. CHI 2022.

Dr. Rafael Wampfler

• Apr 30, 2022 • 1 min read

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Multimodal Learning

egoEMOTION: Egocentric Vision and Physiological Signals for Emotion and Personality Recognition in Real-World Tasks

Affective State Prediction from Smartphone Touch and Sensor Data in the Wild