The DOI matches its Crossref record.
Emotion Assessment: Arousal Evaluation Using EEG’s and Peripheral Physiological Signals
Open accessOverview
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
Verification
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.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
EEG-Based Emotion Recognition in Music Listening
Lin, Y.-P., Wang, C.-H., Jung, T.-P., Wu, T.-L., Jeng, S.-K., Duann, J.-R., & Chen, J.-H. (2010) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2010.2048568 · Cited by 1,021
Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review
Zhang, J., Yin, Z., Chen, P., & Nichele, S. (2020) · Information Fusion · doi:10.1016/j.inffus.2020.01.011 · Cited by 806
Emotional state classification from EEG data using machine learning approach
Wang, X.-W., Nie, D., & Lu, B.-L. (2014) · Neurocomputing · doi:10.1016/j.neucom.2013.06.046 · Cited by 755
Jirayucharoensak, S., Pan-Ngum, S., & Israsena, P. (2014) · The Scientific World Journal · doi:10.1155/2014/627892 · Cited by 486
Nicolaou, M. A., Gunes, H., & Pantic, M. (2011) · IEEE Transactions on Affective Computing · doi:10.1109/t-affc.2011.9 · Cited by 450
Metadata
- Authors
- Chanel, G., Kronegg, J., Grandjean, D., & Pun, T.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2006
- Pages
- 530-537
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W1601314345
- Cited by
- 382
- References
- 0
- FWCI
- 27.46
- Type
- conference paper
- Language
- en
- Open access
- green
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Emotion Assessment: Arousal Evaluation Using EEG’s and Peripheral Physiological Signals. https://app.cochat.ai/papers/10.1007/11848035_70
- The paper
- Chanel, G., Kronegg, J., Grandjean, D., & Pun, T. (2006). Emotion Assessment: Arousal Evaluation Using EEG’s and Peripheral Physiological Signals. Lecture Notes in Computer Science. https://doi.org/10.1007/11848035_70
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.