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The Frontiers of Society, Science and Technology, 2025, 7(1); doi: 10.25236/FSST.2025.070105.

Research on Methods for Recognizing and Analyzing the Emotional State of College Students

Author(s)

Chao Pan1, Honglang Mu2, Quan Yuan1, Yanling Zhang1

Corresponding Author:
Chao Pan
Affiliation(s)

1School of Computer Science and Technology, Xidian University, Xi’an, China

2Undergraduate School, Xidian University, Xi’an, China

Abstract

Based on the characteristics of how humans express emotions, emotion recognition methods include the use of body expressions and physiological signals. According to psychology and neurophysiology, the generation and activity of emotions are closely related to the activity of the cerebral cortex. Therefore, electroencephalographic (EEG) signals can effectively reflect brain activity and have been widely applied in fields such as cognitive behavior prediction, mental workload analysis, mental fatigue assessment, recommendation systems, and decoding visual stimuli. This study focuses on emotion state recognition and analysis methods for college students based on EEG signals under different external environmental stimuli. The research goal is to provide a fast and effective method for recognizing and analyzing the emotional state of college students to better understand and regulate their emotional states.

Keywords

Emotion recognition, EEG signals, College students

Cite This Paper

Chao Pan, Honglang Mu, Quan Yuan, Yanling Zhang. Research on Methods for Recognizing and Analyzing the Emotional State of College Students. The Frontiers of Society, Science and Technology (2025), Vol. 7, Issue 1: 27-33. https://doi.org/10.25236/FSST.2025.070105.

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