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Simulation Tools and Techniques. 12th EAI International Conference, SIMUtools 2020, Guiyang, China, August 28-29, 2020, Proceedings, Part I

Research Article

Research on User Experience Quality Evaluation Method of Internet of Vehicles Based on sEMG Signal

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  • @INPROCEEDINGS{10.1007/978-3-030-72792-5_54,
        author={Jiamin Cheng and Yuan An and Ping Cui and Kailiang Zhang},
        title={Research on User Experience Quality Evaluation Method of Internet of Vehicles Based on sEMG Signal},
        proceedings={Simulation Tools and Techniques. 12th EAI International Conference, SIMUtools 2020, Guiyang, China, August 28-29, 2020, Proceedings, Part I},
        proceedings_a={SIMUTOOLS},
        year={2021},
        month={4},
        keywords={SEMG RMG The Internet of vehicles QoE},
        doi={10.1007/978-3-030-72792-5_54}
    }
    
  • Jiamin Cheng
    Yuan An
    Ping Cui
    Kailiang Zhang
    Year: 2021
    Research on User Experience Quality Evaluation Method of Internet of Vehicles Based on sEMG Signal
    SIMUTOOLS
    Springer
    DOI: 10.1007/978-3-030-72792-5_54
Jiamin Cheng1, Yuan An1,*, Ping Cui1, Kailiang Zhang1
  • 1: Jiangsu Province Key Laboratory of Intelligent Industry Control Technology, Xuzhou University of Technology
*Contact email: anyuan@xzit.edu.cn

Abstract

In recent years, with the rapid development of Internet of vehicles, service providers and operators need to constantly upgrade and optimize their related services (communication nodes, terminal driving safety monitoring, intelligent vehicle), and the evaluation of end-user experience quality is the core of improving business. From the above point of view, this paper proposes an effective method to evaluate the psychological perception of end users by using the SEMG (Surface electromyograph) of end users. The method uses time domain features to represent the changing trend of users in different emotional states, and maps the relationship between psychological perception, so as to effectively evaluate the experience quality of end users. The results show that the method can adapt to the evaluation of experience quality of end users in the Internet of vehicles, obtain the psychological experience quality of current users, and provide strong support for service providers and operators to improve their core business of vehicle network.

Keywords
SEMG RMG The Internet of vehicles QoE
Published
2021-04-27
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-72792-5_54
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