Motion sensor data correction using multiple sensors and multiple measurements

Abstract

In the information technology more and more computing devices have several sensors which can provide lot of data we can use for specific purposes. The newest mobile phones or the Internet of Things (IoT) devices can have many kinds of sensors like temperature, barometric, light, magnetic, acceleration. The sensors of these popular devices are in lack of expensive calibration and provide useful but not very precise data. In this article we are examining some algorithms and technics to get more accurate information from the noisy input data. Our test case is the use of acceleration data provided by mobile phone acceleration sensors. The purpose in this case is to achieve a level where the acceleration data can be used for position estimation. For this we are examining filtering algorithms and the using multiple sensors to get higher precision results.