E-Sports Competition Analysis Based on Intelligent Analysis System

Autor:	Yao Lu, Hao Chen, Hongqiao Yan
Rok vydání:	2022
Předmět:	Imagery Psychotherapy ComputingMethodologies_PATTERNRECOGNITION Article Subject General Computer Science Brain-Computer Interfaces General Mathematics General Neuroscience ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Electroencephalography General Medicine Algorithms Sports
Zdroj:	Computational Intelligence and Neuroscience. 2022:1-10
ISSN:	1687-5273 1687-5265
DOI:	10.1155/2022/4855550
Popis:	To improve the analysis effect of e-sports competitions, this paper studies the intelligent analysis methods of e-sports, compares the advantages and disadvantages of various multi-classification methods, and innovatively designs a two-layer SVM classifier structure for four types of motor imagery EEG signals. Moreover, this paper uses the competition data set to test the classification accuracy of the designed double-layer SVM classifier structure and compares it with the DAG-SVM multi-classification method. The research results show that the e-sports competition analysis system based on the intelligent analysis system proposed in this paper has a good e-sports competition analysis effect, and has a good effect in e-sports competition prediction.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::234058dad4a7db7c80a57f502929998b https://doi.org/10.1155/2022/4855550 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
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