On the Influence of Home Appliances on the Smartphone’s Inertial Sensors

Abstract

Accelerometers and gyroscopes are used in many applications such as navigation, attitude determination, and Internet of Things. This paper aims to demonstrate that low-cost accelerometers and gyroscopes suffer from external interference when operating near home appliances. As a consequence, the performance of their downstream task may degrade. To cope with such situations, interference sources are mapped using a smartphone in stationary conditions. Anomaly detection using the multivariate Gaussian distribution is applied to detect and remove interference in the inertial data. The influence of inertial data with and without interference is analyzed on a typical attitude and heading reference system algorithm.