Research on real-time interactive music visualization based on sensor technology
Music is the transmission and extension of emotions,and emotions are the essence of music.But currently,most peo-ple only perceive music through hearing,and cannot perceive music scenes in multiple dimensions.In order to enable listeners to per-ceive music multimodally,the research uses sensor technology to build a real-time interactive music visualization system based on sensor technology,and combines Ant colony optimization algorithms to optimize the Random forest algorithm,so as to improve the ac-curacy of music emotion recognition.The results show that the proposed method has a maximum accuracy of 81.9％in the Relief fea-ture space.In practical applications,the accuracy of corresponding music emotion classification for irritability,depression,excite-ment,and relaxation is 86.3％,94.4％,97.6％,and 81.2％,respectively.The proposed interactive music visualization method can accurately recognize music emotions and has good application effects,providing more advantageous technical support for the develop-ment of music visualization.
万方数据
维普
