- Published
- 2022-03-25
- Venue
- Information Fusion, vol. 83-84, pp. 19-52
- Cited by
- 619
- Open access
- Yes, green
- DOI
- 10.1016/j.inffus.2022.03.009
Cite this paper
Formatted from the source metadata, not typed by hand. For a whole reference list, use the citation generator or ask your assistant through Find Research.
- APA 7
Wang, Y., Song, W., Tao, W., Liotta, A., Yang, D., Li, X., Gao, S., Sun, Y., Ge, W., Zhang, W., & Zhang, W. (2022). A systematic review on affective computing: emotion models, databases, and recent advances. Information Fusion, 83-84, 19–52. https://doi.org/10.1016/j.inffus.2022.03.009
- MLA 9
Wang, Yan, et al. "A systematic review on affective computing: emotion models, databases, and recent advances." Information Fusion, vol. 83-84, 2022, pp. 19–52, https://doi.org/10.1016/j.inffus.2022.03.009.
- Chicago
Wang, Yan, Wei Song, Wei Tao, Antonio Liotta, Dawei Yang, Xinlei Li, Shuyong Gao, et al. "A systematic review on affective computing: emotion models, databases, and recent advances." Information Fusion 83-84 (2022): 19–52. https://doi.org/10.1016/j.inffus.2022.03.009.
- GOST
Wang Y., Song W., Tao W. [и др.] A systematic review on affective computing: emotion models, databases, and recent advances // Information Fusion. — 2022. — Vol. 83-84. — P. 19–52. — URL: https://doi.org/10.1016/j.inffus.2022.03.009
- BibTeX
@article{wang2022systematic, title = {{A systematic review on affective computing: emotion models, databases, and recent advances}}, author = {Yan Wang and Wei Song and Wei Tao and Antonio Liotta and Dawei Yang and Xinlei Li and Shuyong Gao and Yixuan Sun and Weifeng Ge and Wei Zhang and Wenqiang Zhang}, journal = {Information Fusion}, year = {2022}, volume = {83-84}, pages = {19--52}, doi = {10.1016/j.inffus.2022.03.009}, url = {https://doi.org/10.1016/j.inffus.2022.03.009} }- RIS
TY - JOUR AU - Wang, Yan AU - Song, Wei AU - Tao, Wei AU - Liotta, Antonio AU - Yang, Dawei AU - Li, Xinlei AU - Gao, Shuyong AU - Sun, Yixuan AU - Ge, Weifeng AU - Zhang, Wei AU - Zhang, Wenqiang TI - A systematic review on affective computing: emotion models, databases, and recent advances JO - Information Fusion VL - 83-84 SP - 19 EP - 52 PY - 2022 DA - 2022/03/25 DO - 10.1016/j.inffus.2022.03.009 UR - https://doi.org/10.1016/j.inffus.2022.03.009 ER -