arxiv
PublishedJuly 18, 2026 at 4:00 AM
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InCarEmo: A Multimodal Dataset for In-Cabin Emotion Recognition and Driver State Monitoring
Publisher summary· verbatim
arXiv:2607.14683v1 Announce Type: new Abstract: Understanding driver emotion and state is critical for the next generation of intelligent in-cabin systems that ensure safety and enhance human-vehicle interaction. However, existing public datasets for in-cabin affective computing are largely limited
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Originally published on arxiv ↗