From the 1 of 3 linked papers with an AI index.
3 papers
cs.HC2026
Toward Annotation-Efficient Continuous Emotion Arousal Quantification via Group-Level EEG Dynamic Neural Synchrony
Guandong Pan, Yaqian Yang, Shi Chen +4
The paper proposes using group-level EEG dynamic neural synchrony as a signal to continuously quantify emotional arousal without needing per‑subject manual annotations, showing tha…
eess.AS2025
Toward a Realistic Encoding Model of Auditory Affective Understanding in the Brain
Guandong Pan, Yaqian Yang, Shi Chen +4
In affective neuroscience and emotion-aware AI, understanding how complex auditory stimuli drive emotion arousal dynamics remains unresolved. This study introduces a computational…
eess.SP2025
Potential Indicator for Continuous Emotion Arousal by Dynamic Neural Synchrony
Guandong Pan, Zhaobang Wu, Yaqian Yang +4
The need for automatic and high-quality emotion annotation is paramount in applications such as continuous emotion recognition and video highlight detection, yet achieving this thr…