Sensor Placement Variations in Wearable Activity Recognition. Kunze, K. & Lukowicz, P. IEEE Pervasive Computing, IEEE, 10, 2014.
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.
@article{
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},
id = {9c37a2f2-5de0-3e4b-b2e3-beb92ae88a2a},
created = {2018-07-12T21:32:43.514Z},
file_attached = {false},
profile_id = {f954d000-ce94-3da6-bd26-b983145a920f},
group_id = {b0b145a3-980e-3ad7-a16f-c93918c606ed},
last_modified = {2018-07-12T21:32:43.514Z},
read = {false},
starred = {false},
authored = {false},
confirmed = {true},
hidden = {false},
citation_key = {kunze:placement},
source_type = {article},
private_publication = {false},
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}
}
Downloads: 0
{"_id":"Wabpv2tBwkj8kY3bF","bibbaseid":"kunze-lukowicz-sensorplacementvariationsinwearableactivityrecognition-2014","downloads":0,"creationDate":"2019-02-15T15:15:02.470Z","title":"Sensor Placement Variations in Wearable Activity Recognition","author_short":["Kunze, K.","Lukowicz, P."],"year":2014,"bibtype":"article","biburl":null,"bibdata":{"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","id":"9c37a2f2-5de0-3e4b-b2e3-beb92ae88a2a","created":"2018-07-12T21:32:43.514Z","file_attached":false,"profile_id":"f954d000-ce94-3da6-bd26-b983145a920f","group_id":"b0b145a3-980e-3ad7-a16f-c93918c606ed","last_modified":"2018-07-12T21:32:43.514Z","read":false,"starred":false,"authored":false,"confirmed":"true","hidden":false,"citation_key":"kunze:placement","source_type":"article","private_publication":false,"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","bibtex":"@article{\n title = {Sensor Placement Variations in Wearable Activity Recognition},\n type = {article},\n year = {2014},\n identifiers = {[object Object]},\n keywords = {activity-recognition,mobile,ubicomp,wearable},\n pages = {32-41},\n websites = {http://dx.doi.org/10.1109/mprv.2014.73},\n month = {10},\n publisher = {IEEE},\n id = {9c37a2f2-5de0-3e4b-b2e3-beb92ae88a2a},\n created = {2018-07-12T21:32:43.514Z},\n file_attached = {false},\n profile_id = {f954d000-ce94-3da6-bd26-b983145a920f},\n group_id = {b0b145a3-980e-3ad7-a16f-c93918c606ed},\n last_modified = {2018-07-12T21:32:43.514Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {kunze:placement},\n source_type = {article},\n private_publication = {false},\n 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.},\n bibtype = {article},\n author = {Kunze, Kai and Lukowicz, Paul},\n journal = {IEEE Pervasive Computing},\n number = {4}\n}","author_short":["Kunze, K.","Lukowicz, P."],"urls":{"Website":"http://dx.doi.org/10.1109/mprv.2014.73"},"bibbaseid":"kunze-lukowicz-sensorplacementvariationsinwearableactivityrecognition-2014","role":"author","keyword":["activity-recognition","mobile","ubicomp","wearable"],"downloads":0},"search_terms":["sensor","placement","variations","wearable","activity","recognition","kunze","lukowicz"],"keywords":["activity-recognition","mobile","ubicomp","wearable"],"authorIDs":[]}