Low power consumption optimization has been performed

aiming at key algorithms for non-button pedometer watches based on acceleration sensor. Based on existing tapping detection control algorithm and pedometer algorithm

a prediction tapping detection algorithm and a self-adaptive pedometer algorithm are proposed respectively

moreover

these two improved algorithms are applied to a system consists of a smart cell phone and a non-button pedometer watch. Experimental results show that the proposed two algorithms can shorten procesor computing time effectively and reduce system power consumption significantly assuring user experience and pedometer precision.