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Chen, S., & Jin, Q. (2015). Multi-Modal Dimensional Emotion Recognition Using Recurrent Neural Networks. In Proceedings of the 5th International Workshop on Audio/Visual Emotion Challenge (pp. 49-56). ACM.
https://doi.org/10.1145/2808196.2811638

has been cited by the following article:

• TITLE: To Use or Not to Use: The Risks of the Adoption of Facial Recognition Technologies in Smart Classrooms

  AUTHORS: Alexandre Pacheco da Silva, Marina Feferbaum, Tatiane Guimarães Salvador

  KEYWORDS: Generative AI, Smart Classrooms, Legal Education, Facial Recognition, Algorithmic Risks

  JOURNAL NAME: Beijing Law Review, Vol.16 No.2, June 18, 2025

  ABSTRACT: The rapid adoption of generative AI tools in legal education has sparked debates on establishing norms for AI use. These tools assist in assignments, translating legal documents, and research. Smart classrooms, with intelligent tutoring and emotion recognition technology, enhance teaching and learning but also pose risks like system errors, algorithmic discrimination, and decision opacity. This article examines the construction and benefits of smart classrooms, real-world integration challenges, and the effectiveness and risks of facial recognition technology, especially for diverse learning styles. It concludes best practices and recommendations to mitigate risks and promote a secure, effective educational environment.