Research Article
User Experience Quality Analysis Method Based on Frequency Domain Characteristics of Physiological Signal
@INPROCEEDINGS{10.1007/978-3-030-72792-5_56, author={Ke Sun and Yuan An and Kailiang Zhang and Ping Cui}, title={User Experience Quality Analysis Method Based on Frequency Domain Characteristics of Physiological 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={Physiological signals Frequency Domain characteristics QoE}, doi={10.1007/978-3-030-72792-5_56} }- Ke Sun
Yuan An
Kailiang Zhang
Ping Cui
Year: 2021
User Experience Quality Analysis Method Based on Frequency Domain Characteristics of Physiological Signal
SIMUTOOLS
Springer
DOI: 10.1007/978-3-030-72792-5_56
Abstract
In recent years, the development of intelligent driving is rapid, the related business is constantly upgrading, and the end-user service is becoming more and more perfect. From the perspective of end users, obtaining the evaluation results of experience quality is an effective way to enhance the core competitiveness of business. In this paper, the mapping method of user experience quality is established based on the frequency domain characteristics of SEMG signal, so as to obtain the current real experience quality of intelligent driving terminal users. Data analysis shows that this method can effectively obtain the quality of real user experience. This study can be used as reference data to improve the business experience of intelligent driving terminal users, improve the relevant technical parameters, and enhance the core competitiveness.
