Wearable computing is widely used in the field of monitoring human health indicators, and monitoring energy consumption through acceleration sensors has broad application prospects. Accurate monitoring of college students′ exercise energy consumption is of great significance to help college students formulate scientific exercise and fitness plans and improve their physical health. This paper designs and implements the college students′ energy consumption monitoring system, and proposes a motion energy consumption monitoring algorithm based on geometric mean (GM), which is verified by experiments. The system obtains the motion parameters through the three-dimensional acceleration sensor, uses the GM algorithm to obtain the sports energy consumption data, and compares and analyzes the standard data of different sports types, so as to obtain the sports differences and suggestions for improvement of college students, and improve the standard and safety of college students′ sports.