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Compressing Inertial Motion Data in Wireless Sensing Systems – An Initial Experiment

Cheng, L; Hailes, S; Cheng, Z; Fan, FY; Hang, D; Yang, Y; (2008) Compressing Inertial Motion Data in Wireless Sensing Systems – An Initial Experiment. In: (pp. pp. 293-296). IEEE Computer Society Press: US. Green open access

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Abstract

The use of wireless inertial motion sensors, such as accelerometers, for supporting medical care and sport’s training, has been under investigation in recent years. As the number of sensors (or their sampling rates) increases, compressing data at source(s) (i.e. at the sensors), i.e. reducing the quantity of data that needs to be transmitted between the on-body sensors and the remote repository, would be essential especially in a bandwidth-limited wireless environment. This paper presents a set of compression experiment results on a set of inertial motion data collected during running exercises. As a starting point, we selected a set of common compression algorithms to experiment with. Our results show that, conventional lossy compression algorithms would achieve a desirable compression ratio with an acceptable time delay. The results also show that the quality of the decompressed data is within acceptable range.

Type: Proceedings paper
Title: Compressing Inertial Motion Data in Wireless Sensing Systems – An Initial Experiment
ISBN-13: 9781424422524
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/ISSMDBS.2008.4575077
Publisher version: http://dx.doi.org/10.1109/ISSMDBS.2008.4575077
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/9528
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