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Multimodal Emotion Recognition in Learning Environments

In: Multimodal Affective Computing

Author

Listed:
  • Ramón Zatarain Cabada

    (Instituto Tecnológico de Culiacán)

  • Héctor Manuel Cárdenas López

    (Instituto Tecnológico de Culiacán)

  • Hugo Jair Escalante

    (Instituto Nacional de Astrofísica)

Abstract

This chapter discusses the challenges of integrating multimodal emotion and sentiment classification for affect analysis, including common architectural models, probability vector interpretation, and data pipeline implementations. Additionally, the chapter presents affective tutoring agents that have been developed using multimodal recognition. The main objective is to introduce the reader to the challenges and opportunities presented by the use of multiple modalities in creating affective tutoring systems, with a focus on data pipelines, inference models, and the interactions between emotion and sentiment.

Suggested Citation

  • Ramón Zatarain Cabada & Héctor Manuel Cárdenas López & Hugo Jair Escalante, 2023. "Multimodal Emotion Recognition in Learning Environments," Springer Books, in: Multimodal Affective Computing, chapter 0, pages 123-147, Springer.
    • Handle: RePEc:spr:sprchp:978-3-031-32542-7_11
    DOI: 10.1007/978-3-031-32542-7_11
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