Cited by 247Emotion and Mood RecognitionFace recognition and analysisFace and Expression Recognition

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Continuous Pain Intensity Estimation from Facial Expressions

Kaltwang, Sebastian, Rudovic, Ognjen, Pantic, Maja·2012·Lecture Notes in Computer Science

DOI 10.1007/978-3-642-33191-6_36

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Authors: Kaltwang, S., Rudovic, O., & Pantic, M.
Affiliations: Imperial College London (GB)
ORCID: Kaltwang, Sebastian
Rudovic, Ognjen
Venue: Lecture Notes in Computer Science
Publisher: Springer Berlin Heidelberg
Published: 2012
Pages: 368-377
ISSN: 0302-9743 (ISSN-L)
1611-3349
DOI: 10.1007/978-3-642-33191-6_36
OpenAlex: W2098615198
Cited by: 245
References: 17
Citations by year: 2026: 5 · 2025: 6 · 2024: 9 · 2023: 6 · 2022: 9 · 2021: 22 · 2020: 21 · 2019: 27 · 2018: 27 · 2017: 26 · 2016: 37 · 2015: 24 · 2014: 17 · 2013: 9
FWCI: 29.93
Type: conference paper
Language: en
Open access: closed
Locations: Lecture notes in computer science (publishedVersion)
University of Twente Research Information (publishedVersion)
University of Twente Research Information (submittedVersion)
Funders: Engineering and Physical Sciences Research Council (EP/H016988/1)
Topics: Physical Sciences › Computer Science › Artificial Intelligence › Emotion and Mood Recognition
Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Face recognition and analysis
Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Face and Expression Recognition
Keywords: pain intensity estimation, facial expressions, facial landmarks, DCT features, local binary pattern, regression analysis, shoulder pain

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