Research on detection model of smartphone distraction behavior during riding
LUO Shao-peng
WANG Tao
LEI Hu-sheng
Abstract：In order to explore the detection method of mobile phone distraction behavior during riding of electric bicycle,the mobile phone operation test task during riding was designed.The horizontal and vertical operation indexes of electric bicycle were obtained by nine-axis attitude sensor and GPS,and a difference analysis of each index was carried out to extract characteristic parameters.Using GA-RF(GA-RF)to construct the distraction behavior detection model of smart phone during riding,the validity of the model is proved by the test set.The results show that GA-RF can effectively detect the distraction state of mobile phones.The accuracy of GA-RF is 92.8%,and the F1 value is 89.8%,which are superior to the results of support vector machine(SVM).This detection model can provide theoretical basis for distraction early warning system.
Keywords：cycling distractionrunning characteristics of electric bicycleparameter optimizationstochastic forest model
Publication Date：2023-11-28
Pages：3( 23-25 )