Computer Artificial Intelligence Applied in the Judgement of Attentiveness Using EEG Signals Processing Technology
Pages 2462 - 2468
Abstract
The realization of intelligent education relies on the cross integration of artificial intelligence and the educational process, making education a traceable and visible process. This achieves the purpose of optimizing the teaching process and promoting learners to conduct personalized learning, thus creating an intelligent and technologically advanced learning environment. This paper collects the EEG signals of learners in learning process, and carries out the removal of noise and physiological artifact first, obtaining EEG signals with higher signal-to-noise ratio (SNR). To address the problem of subjective indicators of attentiveness evaluation, this paper extracts a variety of features (power spectral density, eSense index, and sample entropy), and makes a comprehensive comparison, so as to evaluate the state of attentiveness objectively.
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Published In
October 2021
3136 pages
ISBN:9781450385046
DOI:10.1145/3495018
Copyright © 2021 ACM.
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Association for Computing Machinery
New York, NY, United States
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Published: 14 March 2022
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AIAM2021
AIAM2021: 2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture
October 23 - 25, 2021
Manchester, United Kingdom
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