BNU-LSVED 2.0: Spontaneous multimodal student affect database with multi-dimensional labels

作者：

Highlights：

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• First large student affect database recorded in classroom environments.

• A variety of multimodal affective behaviors.

• Annotated with both categorical and PAD emotional labels.

• Annotation reliability is demonstrated through detailed analyses.

摘要

•First large student affect database recorded in classroom environments.•A variety of multimodal affective behaviors.•Annotated with both categorical and PAD emotional labels.•Annotation reliability is demonstrated through detailed analyses.

论文关键词：Multimodal,Visual database,Dimensional,PAD,Emotion recognition,Educational

论文评审过程：Received 6 January 2017, Revised 5 July 2017, Accepted 23 August 2017, Available online 8 September 2017, Version of Record 7 November 2017.

论文官网地址：https://doi.org/10.1016/j.image.2017.08.012