Abstract

In order to build an intelligent platform that can be applied to singing and nervous system adjustment, this paper optimizes the positioning and information processing algorithms for wireless sensor network perception. Moreover, this article combines binocular vision to realize the singer’s real-time positioning, combines the singer’s emotion recognition with the intelligent sensor system, and combines the emotion recognition with the adjustment of the nervous system, so that the singer can better control the intelligent platform. In addition, in order to solve the problem of multisensor information fusion, this paper improves the sensor fusion algorithm to make it suitable for the information fusion of vision sensors and information sensors. Finally, this paper designs the functional structure of the system, transmits data through wireless sensor networks, simulates human emotion models, and studies the process of singing and the adjustment of the nervous system. It can be seen from the experimental research results that the method proposed in this paper has a certain effect.

Highlights

  • The process of singing is a vocal process, and an emotional transmission process, and people’s emotions are mainly controlled by the nervous system

  • From the above research results, it can be seen that the singing and nervous system regulation platform based on the wireless sensor network perception built in this paper has certain effects, and the system built in this paper can continue to be experimentally studied in the follow-up practice to explore its practical effects

  • The correct physiological movement of singing is inseparable from the guidance and regulation of correct singing psychological activity

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Summary

Introduction

The process of singing is a vocal process, and an emotional transmission process, and people’s emotions are mainly controlled by the nervous system. In the early stage of vocal music learning, because the physiological organs of singing body have not been systematically and scientifically trained, there will be some problems in singing, such as broken sound, hoarseness, tension of laryngeal muscle tissue, shallow breath, and inability to reasonably open and apply the resonance chamber. These problems are the result that the singer’s psychology cannot reasonably regulate the coordinated movement of the body’s physiological organs and muscle tissues without training. Based on the above analysis, this paper applies wireless sensor network to the regulation of singing and nervous system, transmits data through wireless sensor network, and simulates human emotion model, so as to study the regulation process of singing and nervous system

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