Internet of Things–triggered and power-efficient smart pedometer algorithm for intelligent wearable devices

Abstract Today wearable devices can be used to monitor the health of patients, among other uses. This chapter proposes an intelligent wearable device (IWD) with a pedometer algorithm that detects and records physical movement such as walking. This device uses a smart algorithm for IWDs for step detection that analyzes the instantaneous acceleration versus time waveform and can detect the specific movements involved in stepping. The results of the algorithm are discussed with different cases and threshold values considered. This algorithm uses a mobile app using the Internet of Things to keep track of steps, and the Gaussian noise is removed from the accelerometer data. This power-efficient pedometer algorithm can be used for IWDs.