Big Data Based Outdoor Sports Monitor and Analysis System Design of University

摘要

At present, there are few research by domestic and foreign researchers on monitoring and analyzing physical activity of large-scaled students' group, so it is theoretically significant with empirical value to analyze and study outdoor sports data of big data technology. Under such background, a group character-oriented exercise health monitoring solution is put forward. This paper combines with Hadoop cluster to store and analyze mass motion data, and integrates with data processing algorithm and conversion algorithm to quantify various physical activities. We use Hadoop open source framework to design and realize motion information analysis service platform. It respectively processes and analyzes the distributed mass physical activity data from two perspectives of motion individuals and the motion group to obtain analysis results of various data. Finally, the paper designs Android-based query and management of motion information to understand physical activity of students' group intensively.