Conventional intelligent capture methods of athletes’ motion track data mainly use VSAM (Virtual storage access method) virtual access technology to obtain data characteristics, which is vulnerable to the effect of data difference repair, resulting in low detection rate of motion track capture. Therefore, it is necessary to design a new intelligent capture method of athletes’ motion training track data under wearable sensors. That is to say, based on wearable sensors to collect and process the sports training track data, an intelligent capture model of athletes’ sports training track data is constructed, and an intelligent capture perception framework of athletes’ sports track data is designed, thus completing the intelligent capture of athletes’ sports training track data. The experimental results show that the designed intelligent capture method for athletes’ sports training track data based on wearable sensors has a high capture detection rate, which proves that the designed intelligent capture method for sports training track data has good capture effect, reliability, and certain application value, and has made certain contributions to the development of athletes’ subsequent sports programs.