EEG-based recognition of happiness

Wai Yie Leong; Yuan Zhi Leong; Wai San Leong

doi:10.1117/12.3035200

19 July 2024 EEG-based recognition of happiness

Wai Yie Leong, Yuan Zhi Leong, Wai San Leong

Proceedings Volume 13213, International Conference on Image Processing and Artificial Intelligence (ICIPAl 2024); 132131V (2024) https://doi.org/10.1117/12.3035200
Event: International Conference on Image Processing and Artificial Intelligence (ICIPAl2024), 2024, Suzhou, China

Abstract

The ability to recognize emotional states, such as happiness, from electroencephalography (EEG) signals has gained significant attention in recent years due to its potential applications in affective computing, mental health monitoring, and human-computer interaction. This paper presents a comprehensive overview of EEG-based recognition of happiness, including signal acquisition, preprocessing techniques, feature extraction methods, classification algorithms, challenges, and real-world applications. Additionally, it discusses the future directions and potential impact of EEG-based happiness recognition.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Wai Yie Leong, Yuan Zhi Leong, and Wai San Leong "EEG-based recognition of happiness", Proc. SPIE 13213, International Conference on Image Processing and Artificial Intelligence (ICIPAl 2024), 132131V (19 July 2024); https://doi.org/10.1117/12.3035200

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