A Thermal Facial Emotion Database and Its Analysis
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
KTFE dataset subjects display posed and spontaneous motions, triggered through audiovisual media.
“In the Kotani Thermal Facial Emotion (KTFE) dataset subjects display posed and spontaneous motions, also triggered through audiovisual media [196].”
From Survey on RGB, 3D, Thermal, and Multimodal Approaches for Facial Expression Recognition: History, Trends, and Affect-Related Applications (2016) · cites this paper as [196]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cited by
Sorted by citations
Corneanu, C. A., Simon, M. O., Cohn, J. F., & Guerrero, S. E. (2016) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2016.2515606 · Cited by 527 · see citing works
- Authors
- Nguyen, H., Kotani, K., Chen, F., & Le, B.
- Affiliations
- Japan Advanced Institute of Science and Technology (JP)
- Ho Chi Minh City University of Science (VN)
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2014
- Pages
- 397-408
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W2296223520
- Cited by
- 45
- References
- 0
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 5 · 2023: 5 · 2022: 9 · 2021: 5 · 2020: 2 · 2019: 4 · 2018: 6 · 2016: 2 · 2014: 3
- FWCI
- 2.73
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Lecture notes in computer science (publishedVersion)
- 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
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Face and Expression Recognition
- Keywords
- infrared thermography, facial emotion recognition, facial expression recognition, spontaneous facial expressions
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
