TechRxiv

Asymmetric Windowing Recurrence Plots on Input Formulation for Human Emotion Recognition

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posted on 2023-12-02, 13:56 authored by Dwi Wahyu Prabowo, Noor Akhmad Setiawan, Johan Debayle, Hanung Adi NugrohoHanung Adi Nugroho

Our study delves into the challenges of emotion recognition through electroencephalogram (EEG) signals in brain-computer interface systems. Recognizing the limitations of existing methods in accurately capturing intricate emotional patterns in EEG data, we propose a novel approach using asymmetric windowing recurrence plots (AWRP). This technique was designed to enhance the efficiency and accuracy of emotion recognition by encoding EEG signals into detailed image representations that are suitable for advanced deep neural network analysis.

Through empirical validations using benchmark datasets (DEAP and SEED), our method demonstrated significant improvements in classification accuracies, notably outperforming existing state-of-the-art methodologies. These findings not only contribute to the field of EEG-based emotion recognition, but also present a novel perspective that can guide future research in neural system analysis and rehabilitation engineering. 

Funding

Doctoral Dissertation Research Grant, DIKTI, Indonesia

History

Email Address of Submitting Author

adinugroho@ugm.ac.id

ORCID of Submitting Author

0000-0001-7749-8044

Submitting Author's Institution

Department of Electrical and Information Engineering, Faculty of Engineering, Universitas Gadjah Mada

Submitting Author's Country

  • Indonesia

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