Accelerometer-based decision algorithm for detecting strenuous exercises on smartphone

摘要

A mathematical model is established in this paper with acceleration data collected by the smartphone-based three-axis gyroscope during standing, walking, falling over and running. The activity of smartphone carriers can be detected according to the data measured by the internal accelerometer within a given time period, which is capable of deciding whether the smartphone carrier is in strenuous exercises or emergency situation. It is also a reliable and practical solution to the identification of activities in the body area network (BAN). Experimental results demonstrate that the model is effective and reliable.