Research on emotion recognition of eye movement in realistic environment

Changdi Hong; Jinlan Wang; Yuanxu Wang; Tao Ning; Jinmiao Song; Xiaodong Duan

doi:10.1117/12.2682524

20 June 2023 Research on emotion recognition of eye movement in realistic environment

Changdi Hong, Jinlan Wang, Yuanxu Wang, Tao Ning, Jinmiao Song, Xiaodong Duan

Proceedings Volume 12715, Eighth International Conference on Electronic Technology and Information Science (ICETIS 2023); 127152T (2023) https://doi.org/10.1117/12.2682524
Event: Eighth International Conference on Electronic Technology and Information Science (ICETIS 2023), 2023, Dalian, China

Abstract

Eye tracking technology can show how people focus their attention and emotionally react to their surroundings. In this study, wearable eye tracker was used to conduct eye movement experiments in realistic environment. For signal processing of the data, a finite impulse response (FIR) filter was chosen, and an eye movement data set was created. First, 26 features were chosen by a machine learning algorithm for emotion recognition, and the average rate of recognition on GDBT was 71.1%. 22 noteworthy correlation features were chosen after Spearman and emotion state were used for correlation analysis. GDBT has a recognition rate of 74.61%, while XGBoost has a recognition rate of 75.63%. The experimental results prove the validity of our data set and provide data support for the next research.

Citation Download Citation

Changdi Hong, Jinlan Wang, Yuanxu Wang, Tao Ning, Jinmiao Song, and Xiaodong Duan "Research on emotion recognition of eye movement in realistic environment", Proc. SPIE 12715, Eighth International Conference on Electronic Technology and Information Science (ICETIS 2023), 127152T (20 June 2023); https://doi.org/10.1117/12.2682524

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