<p>With the increasing emphasis on health and sports activities, there is a growing demand for monitoring and analyzing sports activities. The development of sensor technology has provided new possibilities for sports activity monitoring, but how to effectively utilize sensor data for sports activity monitoring remains a challenge. In the field of sports activity monitoring, sensors can collect real-time data indicators of participants, and research the use of various sensors (such as accelerometers, gyroscopes, etc.) to collect data on sports activities and obtain athlete movement data. The action sequence matching algorithm converts the data collected by sensors into specific action sequences, accurately identifying and matching the feature patterns of different sports movements. By designing and implementing action sequence matching algorithms, the collected data is processed and analyzed to achieve real-time monitoring and accurate recognition of sports activities. Through experimental verification, the sports activity monitoring system based on sensor data collection and action sequence matching algorithm shows high accuracy and real-time performance. The system can accurately identify various sports actions and provide timely feedback to users, providing real-time sports monitoring and feedback.</p>