Sensor Placement Variations in Wearable Activity Recognition. Kunze, K. & Lukowicz, P. IEEE Pervasive Computing, IEEE, 10, 2014.
Sensor Placement Variations in Wearable Activity Recognition [link]Website  abstract   bibtex   
This article explores how placement variations in user-carried electronic appliances influence human action recognition and how such influence can be mitigated. The authors categorize possible variations into three classes: placement on different body parts (such as a jacket pocket versus a hip holster versus a trouser pocket), small displacement within a given coarse location (such as a device shifting in a pocket), and different orientations. For each of these variations, they present a systematic evaluation of the impact on human action recognition and give an overview of possible approaches to deal with them. They conclude with a detailed practical example on how to compensate for on-body placements variations that builds on an extension of their previous work. This article is part of a special issue on wearable computing.
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 title = {Sensor Placement Variations in Wearable Activity Recognition},
 type = {article},
 year = {2014},
 identifiers = {[object Object]},
 keywords = {activity-recognition,mobile,ubicomp,wearable},
 pages = {32-41},
 websites = {http://dx.doi.org/10.1109/mprv.2014.73},
 month = {10},
 publisher = {IEEE},
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 abstract = {This article explores how placement variations in user-carried electronic appliances influence human action recognition and how such influence can be mitigated. The authors categorize possible variations into three classes: placement on different body parts (such as a jacket pocket versus a hip holster versus a trouser pocket), small displacement within a given coarse location (such as a device shifting in a pocket), and different orientations. For each of these variations, they present a systematic evaluation of the impact on human action recognition and give an overview of possible approaches to deal with them. They conclude with a detailed practical example on how to compensate for on-body placements variations that builds on an extension of their previous work. This article is part of a special issue on wearable computing.},
 bibtype = {article},
 author = {Kunze, Kai and Lukowicz, Paul},
 journal = {IEEE Pervasive Computing},
 number = {4}
}

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