METHOD FOR CLASSIFYING HUMAN PSYCHO-EMOTIONAL STATES BASED ON INTEGRAL ELECTROENCEPHALOGRAM METRICS
DOI:
https://doi.org/10.30890/2567-5273.2025-42-02-073Keywords:
psycho-emotional states, cluster analysis, integral indicators, pattern recognition, encephalogramAbstract
The paper addresses the problem of classifying human psycho-emotional states (positive and negative) based on the intelligent analysis of electroencephalogram (EEG) data. Given that emotional states are characterized by non-stationarity and properties ofReferences
Chen, Y.; Wang, W.; Yan, S.; Wang, Y.; Zheng, X.; Lv, C. Application of Electroencephalography Sensors and Artificial Intelligence in Automated Language Teaching. Sensors 2024, 24, 6969. https://doi.org/10.3390/s24216969
Leung C., Scarino A.: Reconceptualizing the nature of goals and outcomes in language/s education. Modern Language Journal 2016, 100, 81–95.
Zhang Y., Wa S., Liu Y., Zhou X., Sun P., Ma Q.: High-accuracy detection of maize leaf diseases CNN based on multi-pathway activation function module. Remote Sensing 2021, 13, 4218.
Sharma V.K., Holbah W.A.: Online Language Assessment the Exception, Not the Rule: For Inclusive Language Learning. Arab World English Journal 2022.
Li Q., Zhang Y., Ren J., Li Q., Zhang Y.: You Can Use But Cannot Recognize: Preserving Visual Privacy in Deep Neural Networks. arXiv 2024, arXiv:2404.04098.
Chappuis J., Stiggins R.J., Chappuis S., Arter J.: Classroom Assessment for Student Learning: Doing It Right–Using It Well. Pearson, New York, NY, USA, 2020.
Wei X., Saab N., Admiraal W.: Assessment of cognitive, behavioral, and affective learning outcomes in massive open online courses: A systematic literature review. Computers & Education 2021, 163, 104097
Ganepola D., Maduranga M.W.P., Tilwari V., Karunaratne I.: A Systematic Review of Electroencephalography-Based Emotion Recognition of Confusion Using Artificial Intelligence. Signals 2024, 5, 244–263. [https://doi.org/10.3390/signals5020013].
Bhattacharya S., Singh A., Hossain M.: Health system strengthening through massive open online courses (MOOCs) during the COVID-19 pandemic: An analysis from the available evidence. Journal of Education and Health Promotion 2020, 9, 195.
Ganepola D.: Assessment of Learner Emotions in Online Learning via Educational Process Mining. In: Proceedings of the 2022 IEEE Frontiers in Education Conference (FIE), Uppsala, Sweden, 8–11 October 2022, pp. 1–3.
El-Sabagh H.A.: Adaptive e-learning environment based on learning styles and its impact on development students’ engagement. International Journal of Educational Technology in Higher Education 2021, 18, 53.
Wang H., Li Y., Hu X.S., Yang Y., Meng Z., Chang K.K.: Using EEG to Improve Massive Open Online Courses Feedback Interaction. CEUR Workshop Proceedings 2013, 1009, 59–66. [Available online: https://experts.illinois.edu/en/publications/using-eeg-to-improve-massive-open-online-courses-feedback-interac (accessed on 8 April 2024)].
Wang H.: Confused Student EEG Brainwave Data. Kaggle, 28 March 2018. [Available online: https://www.kaggle.com/datasets/wanghaohan/confused-eeg/code (accessed on 11 February 2023)].
Xu T., Wang J., Zhang G., Zhou Y.: Confused or not: Decoding brain activity and recognizing confusion in reasoning learning using EEG. Journal of Neural Engineering 2023, 20, 026018.
Chen X., Tao X., Wang F.L., et al.: Global research on artificial intelligence-enhanced human electroencephalogram analysis. Neural Computing and Applications 2022, 34, 11295–11333. [https://doi.org/10.1007/s00521-020-05588-x].
Chang W., Wang H., Yan G., Liu C.: An EEG based familiar and unfamiliar person identification and classification system using feature extraction and directed functional brain network. Expert Systems with Applications 2020, 158, 113448.
Becerra-Sánchez P., Reyes-Munoz A., Guerrero-Ibañez A.: Feature selection model based on EEG signals for assessing the cognitive workload in drivers. Sensors 2020, 20(20), 5881.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Authors

This work is licensed under a Creative Commons Attribution 4.0 International License.



