CUED Publications database

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..

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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).

Item Type: Conference or Workshop Item (UNSPECIFIED)
Subjects: UNSPECIFIED
Divisions: Div E > Manufacturing Systems
Div D > Construction Engineering
Depositing User: Cron Job
Date Deposited: 23 Sep 2019 20:00
Last Modified: 13 Apr 2021 07:06
DOI: 10.1109/ICSENS.2017.8234260