The statistical study of human behavior in exercise mode

An empirical analysis of the login information of fitness club membership in foreground system is implemented, which show that the interval time distribution of their logins present obvious Power-law properties whether all members, groups or individuals. Moreover, the scaling indexes of groups are different and linked with their level of activity. In addition, power exponents are obvious different in cumulative probability distribution and non-cumulative probability distribution, and the former is generally less than the latter. Finally, studies on a certain time and a specified object also reveal that the statistical characteristics of the same community should not be affected by the length of time.