A Review and Meta-Analysis of Multimodal Affect Detection Systems

@article{DMello2015ARA,
  title={A Review and Meta-Analysis of Multimodal Affect Detection Systems},
  author={Sidney K. D'Mello and Jacqueline Kory Westlund},
  journal={ACM Comput. Surv.},
  year={2015},
  volume={47},
  pages={43:1-43:36}
}
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
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The Oxford Handbook of Affective Computing

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4 Excerpts

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

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