Computer Science > Computer Vision and Pattern Recognition • *arXiv:2606.20715** (cs) [Submitted on 16 Jun 2026] Title:CDER-SME: A Cross-Device Event-RGB Micro-Expression Dataset under Multi-Level Stress Induction Authors: Jingting Li (https://arxiv.org/search/cs?searchtype=author&query=Li,+J), Hui Sha (https://arxiv.org/search/cs?searchtype=author&query=Sha,+H), Su-Jing Wang (https://arxiv.org/search/cs?searchtype=author&query=Wang,+S) View a PDF of the paper titled CDER-SME: A Cross-Device Event-RGB Micro-Expression Dataset under Multi-Level Stress Induction, by Jingting Li and 2 other authors View PDF (https://arxiv.org/pdf/2606.20715) HTML (experimental) (https://arxiv.org/html/2606.20715v1) Abstract:Micro-expression recognition (MER) in realistic scenarios demands high temporal sensitivity and ecological validity, yet existing benchmarks are largely constrained to laboratory-controlled settings and rigid hardware-coupled sensing. We introduce CDER-SME, a cross-device Event-RGB dataset collected under a multi-level stress induction framework (cognitive and social) to elicit spontaneous emotional leakage. To enable reproducible acquisition with independent, decoupled sensors, we provide a hardware-agnostic alignment pipeline for temporal synchronization and landmark-guided spatial registration. CDER-SME adopts a three-tier structure with 92 subjects and 1,963 expert-annotated samples (Action Units and emotions), including 790 Event-RGB pairs and 210 high-fidelity aligned pairs. We further report a reproducible multimodal baseline, where cross-modal fusion improves performance over single-modality counterparts, supporting the complementarity of event dynamics and RGB cues. By removing the need for coaxial calibration, CDER-SME offers a practical benchmark for cross-device alignment and deployable Event-RGB MER in real-world affective intelligence. Focus to learn more arXiv-issued DOI via DataCite (pending registration) | Submission history From: Su-Jing Wang [view email (https://arxiv.org/show-email/a12702ca/2606.20715)] • *[v1]** Tue, 16 Jun 2026 14:07:27 UTC (6,460 KB) Full-text links: Access Paper: View a PDF of the paper titled CDER-SME: A Cross-Device Event-RGB Micro-Expression Dataset under Multi-Level Stress Induction, by Jingting Li and 2 other authors • View PDF (https://arxiv.org/pdf/2606.20715) • HTML (experimental) (https://arxiv.org/html/2606.20715v1) • TeX Source (https://arxiv.org/src/2606.20715) ![license icon (https://arxiv.org/icons/licenses/by-nc-nd-4.0.png)view license](http://creativecommons.org/licenses/by-nc-nd/4.0/ "Rights to this article") Current browse context: cs.CV < prev (https://arxiv.org/prevnext?id=2606.20715&function=prev&context=cs.CV) \| next > (https://arxiv.org/prevnext?id=2606.20715&function=next&context=cs.CV) new (https://arxiv.org/list/cs.CV/new) \| recent (https://arxiv.org/list/cs.CV/recent) \| 2026-06 (https://arxiv.org/list/cs.CV/2026-06) Change to browse by: cs (https://arxiv.org/abs/2606.20715?context=cs) References & Citations • NASA ADS (https://ui.adsabs.harvard.edu/abs/arXiv:2606.20715) • Google Scholar (https://scholar.google.com/scholar_lookup?arxiv_id=2606.20715) • Semantic Scholar (https://api.semanticscholar.org/arXiv:2606.20715) export BibTeX citation Bookmark ![BibSonomy (https://arxiv.org/static/browse/0.3.4/images/icons/social/bibsonomy.png)](http://www.bibsonomy.org/BibtexHandler?requTask=upload&url=https://arxiv.org/abs/2606.20715&description=CDER-SME:%20A%20Cross-Device%20Event-RGB%20Micro-Expression%20Dataset%20under%20Multi-Level%20Stress%20Induction "Bookmark on BibSonomy") ![Reddit (https://arxiv.org/static/browse/0.3.4/images/icons/social/reddit.png)](https://reddit.com/submit?url=https://arxiv.org/abs/2606.20715&title=CDER-SME:%20A%20Cross-Device%20Event-RGB%20Micro-Expression%20Dataset%20under%20Multi-Level%20Stress%20Induction "Bookmark on Reddit") Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer ( What is the Explorer? 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