Juanying Lin, Leanne Chan and Hong Yan, City University of Hong Kong, China

This paper describes a decision tree (DT) based pedometer algorithm and its implementation on Android. The DT- based pedometer can classify 3 gait patterns, including walking on level ground (WLG), up stairs (WUS) and down stairs (WDS). It can discard irrelevant motion and count user’s steps accurately. The overall classification accuracy is 89.4%. Accelerometer, gyroscope and magnetic field sensors are used in the device. When user puts his/her smart phone into the pocket, the pedometer can automatically count steps of different gait patterns. Two methods are tested to map the acceleration from mobile phone’s reference frame to the direction of gravity. Two significant features are employed to classify different gait patterns.

Pedometer, Decision Tree, Sensor, Gait analysis &Classification, Mobile Phone Applications.