NDLI: Compressing inertial motion data in wireless sensing systems

Content Provider	IEEE Xplore Digital Library
Author	Cheng, L. Hailes, S. Zhen Cheng Fu-Yi Fan Hang, D. Yang Yang
Copyright Year	2008
Abstract	The use of wireless inertial motion sensors, such as accelerometers, for supporting medical care and sportpsilas 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.
Starting Page	293
Ending Page	296
File Size	893560
Page Count	4
File Format	PDF
ISBN	9781424422524
DOI	10.1109/ISSMDBS.2008.4575077
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-06-01
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wireless sensor networks Sensor systems Compression algorithms Optical sensors Sampling methods Acceleration Humans Biosensors Accelerometers Biomedical optical imaging
Content Type	Text
Resource Type	Article

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