A new in-cabin dataset pairs RGB/IR video, audio, and Chinese dialogue text with emotion, fatigue, and distraction labels, and baselines show fusion beats single modalities on the Chinese partition.
Title resolution pending
1 Pith paper cite this work, alongside 23 external citations. Polarity classification is still indexing.
1
Pith paper citing it
23
external citations · OpenAlex
fields
cs.AI 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
InCarEmo: A Multimodal Dataset for In-Cabin Emotion Recognition and Driver State Monitoring
A new in-cabin dataset pairs RGB/IR video, audio, and Chinese dialogue text with emotion, fatigue, and distraction labels, and baselines show fusion beats single modalities on the Chinese partition.