A hierarchical multifunctional cross fusion network for emotion recognition from facial expressions and peripheral physiological signals (2026)¶
Status: pending Scraped: 2026-08-12 Source: openalex Relevance: Related
Authors: Xiang Zuo, Geng-Xin Xu, Ye Li DOI: 10.1088/1361-6579/ae8b70
Citation: Xiang Zuo, Geng-Xin Xu, Ye Li (2026), A hierarchical multifunctional cross fusion network for emotion recognition from facial expressions and peripheral physiological signals, openalex. Type: Determine after review
Abstract¶
Key Contribution¶
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Design¶
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Key Results¶
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Impact¶
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Linked To¶
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Data Quality Assessment¶
| Field | Assessment |
|---|---|
| Subject selection | How were subjects selected? Inclusion/exclusion criteria, sampling strategy, n=? Power analysis? |
| Data acquisition | How was data physically acquired? Device model (E4, Empatica, WHOOP, Polar, dedicated sensor), sampling rate, placement, firmware version. |
| Acquisition context | From whom, what were they doing during recording? Clinic, home, school, sleep-only, free-living, task-based? Naturalistic or controlled? |
| Gold standard labels | How were outcome events defined? Clinician-validated scale (ABCD, ABC, CAAS, VAS), event logs, direct observation, chart review? Inter-rater reliability reported? |
| Data validation | How were data fields validated? Artifact rejection, signal quality indices, cross-modal checks, manual inspection, automated QC pipeline? |
| Missingness | n=X subjects — do all have complete data? Missing at random, missing completely at random, or missing not at random? Is missingness correlated with outcome? |