An evaluation method for human-computer interaction interface of sports electronic products based on Naive Bayes algorithm

There are some problems in the evaluation method of human-computer interaction interface of sports electronic products, such as long evaluation time and relatively accurate evaluation of interactive interface. An evaluation method of human-computer interaction interface of sports electronic products based on Naive Bayes algorithm is proposed. Determined by Fisher method choice, sports man-machine interface evaluation index of electronic products and through the MRMR method the product interface evaluation indices' redundant data is eliminated. Through comprehensive evaluation matrix calculate weight of the man-machine interface evaluation index membership degree, with the help of Naive Bayes algorithm to calculate weight evaluation index of discrete. The comprehensive evaluation model of human-computer interaction interface is constructed to complete the evaluation of human-computer interaction interface of sports electronic products. Experimental results show that the shortest evaluation time of the proposed method is about 31 s, and the evaluation accuracy is always higher than 90%.