Vehicle-mounted music recommendation method and system

Abstract

The invention discloses a vehicle-mounted music recommendation method and recommendation equipment, and the method comprises the steps: obtaining a real-time physiological reaction signal of a driverin a music playing process when the driver drives; and according to the real-time physiological reaction signal of the driver, determining the real-time music listening concentration of the driver, and according to the real-time music listening concentration of the driver, judging whether to replace the yeast wind of the next piece of music, thereby carrying out personalized music recommendation.The recommendation equipment comprises physiological reaction signal acquisition equipment, a processor and a vehicle-mounted information entertainment system; the physiological reaction signal acquisition device is connected with the processor, and the processor is connected with the vehicle-mounted information entertainment system; the processor consists of an extraction unit and an acquisitionunit; the vehicle-mounted information entertainment system is provided with a music classification module and a music playing module. And according to the judgment result, the vehicle-mounted infotainment system plays corresponding music, personalized music recommendation is carried out, and the accuracy of music recommendation is ensured.

Description

technical field [0001] The invention relates to the technical field of automobiles, and designs a car music recommendation method and a recommendation system. Background technique [0002] At present, with the rapid development of the Internet of Vehicles, more and more car companies integrate online music players in the central control screen of the car, such as Kugou Music App, QQ Music App, Baidu Music, etc. Music playback has become It is the most frequently used leisure method during driving. When the driver starts a certain music application in the car, there are a lot of automatically recommended music on the music home page, such as recommending new songs or hot songs to the driver; there are also music classified according to different classification methods, such as classified by singer , music by album, music by geography, and more. That is to say, in the existing music application, when the driver starts the music application, it cannot automatically recommend ...

AI Technical Summary

Problems solved by technology

This method requires a certain amount of data base and cannot be judged for the special situation of the driver

For example, big data judges that a certain user prefers upbeat music, but on a certain day the user is not interested in upbeat music

Obviously, this music recommendation method is relatively rough, and the accuracy of music recommendation is not high.

Images