Kai Kunze, Paul Lukowicz


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.   [Download]


@article {Kunze:Sensor:2014:7846,
	number = {4}, 
	month = {10}, 
	year = {2014}, 
	title = {Sensor Placement Variations in Wearable Activity Recognition}, 
	journal = {IEEE Pervasive Computing}, 
	volume = {13}, 
	pages = {32-41}, 
	publisher = {IEEE}, 
	author = {Kai Kunze, Paul Lukowicz}, 
	keywords = {}