Effect of sensor fusion for recognition of emotional states using voice, face image and thermal image of face
Abstract
A new integrated method is presented to recognize the emotional expressions of human using both voices and facial expressions. For voices, we use such prosodic parameters as pitch signals, energy, and their derivatives, which are trained by hidden Markov model for recognition. For facial expressions, we use feature parameters from thermal images in addition to visible images, which are trained by neural networks for recognition. The thermal images are observed by infrared ray which is not influenced by lighting conditions. The total recognition rates show better performance than that obtained from each single experiment. The results are compared with the recognition by human questionnaire.
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?
Weight criterion assigns a confidence to each classifier output, outputting a weighted linear combination of the predictions.
“Weight criterion solves this by assigning a confidence to each classifier output, otputting a weighted linear combination of the predictions [161], [162], [167], [200].”
From Survey on RGB, 3D, Thermal, and Multimodal Approaches for Facial Expression Recognition: History, Trends, and Affect-Related Applications (2016) · cites this paper as [167]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
No citation lists for this paper
No citation lists for this paper yet — checked again daily.
References 6 · Cited by 144
- Authors
- Yoshitomi, Y., Kim, S.-I., Kawano, T., & Kilazoe, T.
- Affiliations
- University of Miyazaki (JP)
- Venue
- Proceedings 9th IEEE International Workshop on Robot and Human Interactive Communication. IEEE RO-MAN 2000 (Cat. No.00TH8499)
- Publisher
- IEEE
- Published
- 2002-11-08
- Pages
- 178-183
- ISSN
- 1944-9437 (ISSN-L)
- OpenAlex
- W2162591825
- Cited by
- 144
- References
- 6
- Citations by year
- 2024: 3 · 2022: 4 · 2021: 8 · 2020: 2 · 2019: 5 · 2018: 5 · 2017: 1 · 2016: 11 · 2015: 9 · 2014: 10 · 2013: 8 · 2012: 8
- FWCI
- 9.70
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- IEEE RO-MAN (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
- emotion recognition, sensor fusion, voice emotion recognition, facial expression recognition, infrared thermography, prosodic features, pitch, speech energy, hidden Markov models, artificial neural networks, multimodal fusion
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
