Emotion recognition from thermal infrared images using deep Boltzmann machine
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- Authors
- Wang, S., He, M., Gao, Z., He, S., & Ji, Q.
- Affiliations
- University of Science and Technology of China (CN)
- Rensselaer Polytechnic Institute (US)
- Corresponding author
- Wang, Shangfei
- Venue
- Frontiers of Computer Science
- Published
- 2014-03-14
- Volume
- 8
- Issue
- 4
- Pages
- 609-618
- ISSN
- 2095-2228 (ISSN-L)
- 2095-2236
- OpenAlex
- W2058996406
- Cited by
- 51
- References
- 47
- Citations by year
- 2026: 2 · 2025: 4 · 2024: 2 · 2023: 5 · 2022: 7 · 2021: 8 · 2020: 12 · 2019: 4 · 2018: 3 · 2017: 1 · 2016: 3
- FWCI
- 1.69
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Frontiers of Computer Science (publishedVersion)
- Frontiers of Computer Science
- Funders
- National Science Foundation
- National Natural Science Foundation of China
- Fundamental Research Funds for the Central Universities
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Emotion and Mood Recognition
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Face recognition and analysis
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Infrared Thermography in Medicine
- Keywords
- emotion recognition, thermal infrared images, deep Boltzmann machine, facial expression recognition, unlabeled data
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