PosAla: A Smartphone-Based Posture Alarm System Design for Smartphone Users

With the proliferation of various next generation wireless communication technologies, the smartphone has entered into our daily lives. Meanwhile, the excessive use of smartphone is seriously affecting our normal work and rest. In particular, the inappropriate way of using smartphone, especially when playing smartphone on bed in a lie-down posture, may do potential harm to our health. Thus, we propose a system called PosAla to encourage the smartphone users to use their phones in a correct posture. The proposed system adopts the supervised classifier to identify the harmful behavior, which is in a lie-down posture while using the smartphone, from a large number of sensor data generated during daily use of smartphone. Eight classification algorithms were tested in the experiments, and a large number of experiments have been conducted in terms of segment length and attribute selection. The extensive experimental results show that the recognition accuracy can reach 99.52%.