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Review
. 2024 Jan 4:14:1289816.
doi: 10.3389/fpsyg.2023.1289816. eCollection 2023.

Mini review: Challenges in EEG emotion recognition

Zhihui Zhang  1 , Josep M Fort  1 , Lluis Giménez Mateu  1
Affiliations
Review

Mini review: Challenges in EEG emotion recognition

Zhihui Zhang et al. Front Psychol. .

Abstract

Electroencephalography (EEG) stands as a pioneering tool at the intersection of neuroscience and technology, offering unprecedented insights into human emotions. Through this comprehensive review, we explore the challenges and opportunities associated with EEG-based emotion recognition. While recent literature suggests promising high accuracy rates, these claims necessitate critical scrutiny for their authenticity and applicability. The article highlights the significant challenges in generalizing findings from a multitude of EEG devices and data sources, as well as the difficulties in data collection. Furthermore, the disparity between controlled laboratory settings and genuine emotional experiences presents a paradox within the paradigm of emotion research. We advocate for a balanced approach, emphasizing the importance of critical evaluation, methodological standardization, and acknowledging the dynamism of emotions for a more holistic understanding of the human emotional landscape.

Keywords: EEG; challenges; emotional dynamics; emotional measurement; recognition.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Visual representation of EEG emotion research: co-citation and keyword relationships.
See this image and copyright information in PMC

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