distraction detection 1driver state monitoring 1fatigue detection 1in-cabin emotion recognition 1multimodal dataset 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.AI2026
InCarEmo: A Multimodal Dataset for In-Cabin Emotion Recognition and Driver State Monitoring
Hao Yang, Yanyan Zhao, Kewei Zhao +11
The paper presents InCarEmo, a multimodal dataset that combines RGB and infrared video, audio, and dialogue text for in-cabin emotion recognition, fatigue detection, and distractio…
cs.CV2026
Text-Driven Emotionally Continuous Talking Face Generation
Hao Yang, Yanyan Zhao, Tian Zheng +7
Talking Face Generation (TFG) strives to create realistic and emotionally expressive digital faces. While previous TFG works have mastered the creation of naturalistic facial movem…
cs.CL2024
Large Language Models Meet Text-Centric Multimodal Sentiment Analysis: A Survey
Hao Yang, Yanyan Zhao, Yang Wu +6
Compared to traditional sentiment analysis, which only considers text, multimodal sentiment analysis needs to consider emotional signals from multimodal sources simultaneously and…