Sensor Placement Variations in Wearable Activity Recognition

Sensor Placement Variations in Wearable Activity Recognition
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DOI:
10.1109/mprv.2014.73
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发表时间:
2014-10-01
影响因子:
1.6
通讯作者:
Lukowicz, Paul
Lukowicz, Paul
中科院分区:
计算机科学4区
文献类型:
--
作者:
Kunze, Kai;Lukowicz, Paul

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本文探讨了用户随身携带的电子设备中的位置变化如何影响人类行为识别,以及如何减轻这种影响。作者将可能的变化分为三类:放置在不同的身体部位(如夹克口袋与臀部皮套对比裤子口袋),在给定的粗略位置内的小位移(如在口袋中移动的装置),以及不同的方向。对于这些变化中的每一种,它们都提供了对人类行动识别的影响的系统评估,并概述了处理这些变化的可能方法。他们以一个详细的实际例子结束了对如何补偿身体上放置变化的研究,该变化建立在他们之前工作的基础上。本文是一期关于可穿戴计算的特刊的一部分。
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.