The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Emotion recognition from physiological signals using wireless sensors for presence technologies
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Citations
Cites
Bower, G. H. (1981) · American Psychologist · doi:10.1037/0003-066x.36.2.129 · Cited by 4,154
Colquitt, J. A., LePine, J. A., & Noe, R. A. (2000) · Journal of Applied Psychology · doi:10.1037/0021-9010.85.5.678 · Cited by 2,126 · cited 2×
“…and decision-making (Damasio 1994); strategic planning (Ledoux 1992); focus and attention (Derryberry and Tucker 1992); motivation and performance (Colquitt et al. 2000); intention (Frijda 1986); communication (Birdwhistle 1970; Ekman and Friesen 1975; Chovil 1991); and learning (Goleman 1995).”
BackgroundHiding feelings: The acute effects of inhibiting negative and positive emotion
Gross, J. J., & Levenson, R. W. (1997) · Journal of Abnormal Psychology · doi:10.1037/0021-843x.106.1.95 · Cited by 1,834
Barrett, L. F., Gross, J., Christensen, T. C., & Benvenuto, M. (2001) · Cognition & Emotion · doi:10.1080/02699930143000239 · Cited by 1,077 · cited 1×
“4.4 Discussion and future work Feldman Barrett et al. (2001) found that individuals vary in their ability to identify the specific emotions they experience (emotion differentiation).”
BackgroundInfluentialPresence: concept, determinants, and measurement:
IJsselsteijn, W. A., de Ridder, H., Freeman, J., & Avons, S. E. (2000) · SPIE Proceedings · doi:10.1117/12.387188 · Cited by 529
Communicative facial displays as a new conversational modality
Takeuchi, A., & Nagao, K. (1993) · Proceedings of the SIGCHI conference on Human factors in computing systems - CHI '93 · doi:10.1145/169059.169156 · Cited by 140
Cited by
Affect Detection: An Interdisciplinary Review of Models, Methods, and Their Applications
Calvo, R. A., & D'Mello, S. (2010) · IEEE Transactions on Affective Computing · doi:10.1109/t-affc.2010.1 · Cited by 1,893
Emotion recognition based on physiological changes in music listening
Kim, J., & Andre, E. (2008) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2008.26 · Cited by 1,082
A review of emotion recognition using physiological signals
Shu, L., Xie, J., Yang, M., Li, Z., Li, Z., Liao, D., Xu, X., & Yang, X. (2018) · Sensors · doi:10.3390/s18072074 · Cited by 923
Schuller, B., Batliner, A., Steidl, S., & Seppi, D. (2011) · Speech Communication · doi:10.1016/j.specom.2011.01.011 · Cited by 758
Emotion Recognition From EEG Using Higher Order Crossings
Petrantonakis, P. C., & Hadjileontiadis, L. J. (2010) · IEEE Transactions on Information Technology in Biomedicine · doi:10.1109/titb.2009.2034649 · Cited by 687
Metadata
- Authors
- Nasoz, F., Alvarez, K., Lisetti, C. L., & Finkelstein, N.
- Venue
- Cognition, Technology & Work
- Published
- 2004-02-01
- Volume
- 6
- Issue
- 1
- Pages
- 4-14
- ISSN
- 1435-5558 (ISSN-L)
- 1435-5566
- OpenAlex
- W2149186291
- Cited by
- 367
- References
- 6
- FWCI
- 18.11
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
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- CoChat. (2026). Citation check: Emotion recognition from physiological signals using wireless sensors for presence technologies. https://app.cochat.ai/papers/10.1007/s10111-003-0143-x
- The paper
- Nasoz, F., Alvarez, K., Lisetti, C. L., & Finkelstein, N. (2004). Emotion recognition from physiological signals using wireless sensors for presence technologies. Cognition, Technology & Work. https://doi.org/10.1007/s10111-003-0143-x
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.
