Analysis of EEG signals and facial expressions for continuous emotion detection
- Submitting institution
-
Imperial College of Science, Technology and Medicine
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 2137
- Type
- D - Journal article
- DOI
-
10.1109/TAFFC.2015.2436926
- Title of journal
- IEEE Transactions on Affective Computing
- Article number
- -
- First page
- 17
- Volume
- 7
- Issue
- 1
- ISSN
- 1949-3045
- Open access status
- Out of scope for open access requirements
- Month of publication
- May
- Year of publication
- 2015
- URL
-
-
- Supplementary information
-
10.1109/TAFFC.2015.2436926
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
3
- Research group(s)
-
-
- Citation count
- 161
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper answers a long-standing question: are EEG signals contaminated by facial muscle activation in emotional displays, and is there value in analysing EEG signals at all? It caused a lot of interest in both the scientific community and society, resulting in a series of invited talks by Pantic, e.g., Science Festival on State of Emotion 2016 (Berlin, Germany), Royal Society Summer Science Exhibition 2016, and Int. Conf. on Image Processing Theory Tools and Applications 2016. The paper won the IEEE Transactions on Affective Computing Best Paper Award 2016-2017 (https://www.computer.org/csdl/journal/ta/2018/01/08303582/13rRUxASuWq).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
