Research Article
Classification of daily-life postural transitions using trunk-worn wearable barometric pressure sensor
@INPROCEEDINGS{10.4108/icst.bodynets.2013.253552, author={Fabien Mass\^{e} and Alan Bourke and Anisoara Paraschiv-Ionescu and Kamiar Aminian}, title={Classification of daily-life postural transitions using trunk-worn wearable barometric pressure sensor}, proceedings={8th International Conference on Body Area Networks}, publisher={ICST}, proceedings_a={BODYNETS}, year={2013}, month={10}, keywords={activity barometric pressure wearable sensor inertial sensor}, doi={10.4108/icst.bodynets.2013.253552} }- Fabien Massé
Alan Bourke
Anisoara Paraschiv-Ionescu
Kamiar Aminian
Year: 2013
Classification of daily-life postural transitions using trunk-worn wearable barometric pressure sensor
BODYNETS
ACM
DOI: 10.4108/icst.bodynets.2013.253552
Abstract
Distinguishing sedentary from dynamic behavior is essential in addressing disease conditions that are influenced by mobility. Event-based activity recognition algorithms essentially rely on accurate classification of siting and standing postural transitions to distinguish whether the subject is sitting or standing. In this paper, the use of barometric pressure, to estimate altitude, is investigated. It enabled a correct classification of postural transitions with a sensitivity of 92.31% and specificity of 98.06%. The type (sit-to-stand or stand-to-sit) of transition was also accurately identified.
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