Cited by 6,019Emotion and Mood RecognitionFace recognition and analysisFace Recognition and Perception

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Facial Action Coding System

Ekman, Paul, Friesen, Wallace V.·2019·PsycTESTS Dataset

DOI 10.1037/t27734-000

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Infant non-distress vocalization during mother-infant face-to-face interaction: Factors associated with quantitative and qualitative differences☆ 7 7☆ This research was supported by faculty research grants to Hui-Chin Hsu from the College of Family and Consumer Science, the University of Georgia, and the University of Georgia Research Foundation, and by grants to Alan Fogel from the National Institutes of Health (R01 HD21036), the National Institute of Mental Health (R01 MH48680 and MH57669), and the National Science Foundation (BN9006756). Portions of the data were presented at the International Conference on Infant Studies, April 1998, and the Human Development Conference, April 2000. The authors thank the mothers and infants who participated in the study, and the research assistants who helped with the project.
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Authors: Ekman, P., & Friesen, W. V.
Venue: PsycTESTS Dataset
Publisher: American Psychological Association (APA)
Published: 1978
DOI: 10.1037/t27734-000
OpenAlex: W1588539311
Cited by: 6,019
References: 0
Citations by year: 2026: 288 · 2025: 447 · 2024: 367 · 2023: 379 · 2022: 314 · 2021: 204 · 2020: 218 · 2019: 195 · 2018: 227 · 2017: 199 · 2016: 244 · 2015: 233 · 2014: 214 · 2013: 208 · 2012: 174
Type: dataset
Language: en
Open access: closed
Locations: PsycTESTS Dataset (publishedVersion)
Topics: Physical Sciences › Computer Science › Artificial Intelligence › Emotion and Mood Recognition
Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Face recognition and analysis
Life Sciences › Neuroscience › Cognitive Neuroscience › Face Recognition and Perception
Keywords: facial expressions, facial action units, emotion recognition, facial motion

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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Facial Action Coding System

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