emotion recognition
The capability of AI systems to detect and interpret human emotional states from various input modalities, such as facial expressions, voice tonality, or physiological signals, with applications in human-computer interaction.
- A Multimodal BiMamba Network with Test-Time Adaptation for Emotion Recognition Based on Physiological Signals
- Can Large Language Models Help Multimodal Language Analysis? MMLA: A Comprehensive Benchmark
- FEEL: Quantifying Heterogeneity in Physiological Signals for Generalizable Emotion Recognition
- LUNA: Efficient and Topology-Agnostic Foundation Model for EEG Signal Analysis
- Less is More: Local Intrinsic Dimensions of Contextual Language Models