E-Sports Competition Analysis Based on Intelligent Analysis System

Abstract

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.

The Development of Esports Research and Technology in the Last 3 Decades

“…The development of professional players who are born through online streaming platforms has also encouraged the development of video games which were initially just entertainment to become a competition event [11]. This competition continues to develop through video games, creating a new sport by adapting to the era of digitalization which is now known as esports [12]. The 21st century is a time where technology, the Internet networks, and video games are developing more rapidly [13].…”

Paradigms, Limitations, Opportunities, and Challenges of E-Sports in Indonesia

“…The rapidly growing development trend of Esports, or electronic sports, reflects the cutting-edge phenomenon at the intersection between technology and sports (Lu, Chen, & Yan, 2022). Esports, defined as a serious video game competition, has experienced tremendous growth globally, with professional leagues, prizes totaling millions of dollars, and a massive fan base.…”