Detecting changes in the variance of multi-sensory accelerometer data using MCMC

Ahrabian, A and Elsaleh, T and Fathy, Y and Barnaghi, P (2017) Detecting changes in the variance of multi-sensory accelerometer data using MCMC. In: UNSPECIFIED pp. 1-3..

Abstract

An important field in exploratory sensory data analysis is the segmentation of time-series data to identify activities of interest. In this work, we analyse the performance of univariate and multi-sensor Bayesian change detection algorithms in segmenting accelerometer data. In particular, we provide theoretical analysis and also performance evaluation on synthetic data and real-world data. The results illustrate the advantages of using multi-sensory variance change detection in the segmentation of dynamic data (e.g. accelerometer data).