Motion analysis is important to improve athletes' performance and reduce their risk of injury. EPTS (Electronic Performance and Tracking System) has been widely used in sports in recent years to collect data from athletes' training and competition and present it in visual form to coaches. Among them, GNSS (Global Navigation Satellite System) and IMU (Inertial Measurement Unit) in EPTS are used to measure and provide athletes' sports performance data.
The research team designed the integral filter with loosely coupled strategy integrating GNSS and IMU data for wearable EPTS. it can obtain the information of athlete's speed, position, distance, body posture, acceleration and deceleration at low cost. The effectiveness of the filter has been verified by rover and athlete field tests.