A Review and Meta-Analysis of Multimodal Affect Detection Systems

  title={A Review and Meta-Analysis of Multimodal Affect Detection Systems},
  author={Sidney K. D'Mello and Jacqueline Kory Westlund},
  journal={ACM Comput. Surv.},
Affect detection is an important pattern recognition problem that has inspired researchers from several areas. The field is in need of a systematic review due to the recent influx of Multimodal (MM) affect detection systems that differ in several respects and sometimes yield incompatible results. This article provides such a survey via a quantitative review and meta-analysis of 90 peer-reviewed MM systems. The review indicated that the state of the art mainly consists of person-dependent models… CONTINUE READING
Highly Cited
This paper has 95 citations. REVIEW CITATIONS
Recent Discussions
This paper has been referenced on Twitter 18 times over the past 90 days. VIEW TWEETS
47 Citations
17 References
Similar Papers


Publications citing this paper.
Showing 1-10 of 47 extracted citations

96 Citations

Citations per Year
Semantic Scholar estimates that this publication has 96 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.
Showing 1-10 of 17 references

The Oxford Handbook of Affective Computing

  • R. Calvo, S. K. D’Mello, J. Gratch, A. Kappas
  • 2014
Highly Influential
4 Excerpts

A selective meta-analysis on the relative incidence of discrete affective states during learning with technology

  • S. D’Mello
  • J. Educ. Psychology
  • 2013
Highly Influential
3 Excerpts

Similar Papers

Loading similar papers…