Author

Orkhan Amiraslanov, Hymalai Bello, Gerald Pirkl, Peter Hevesi, Paul Lukowicz

Abstract

Reaching out onto a shelf or into a cabinet and taking something out is a fundamental part of many activities. In our daily life we carry out several picking and placing actions from/to shelves, cupboards, racks, containers, etc.. With enough instrumentation identifying the shelf from which something has been taken is not a fundamental problem. However, reliably detecting specific shelf from which something has been taken with an unobtrusive and cheap setup remains, in general, an open problem. As a solution we developed WiCoSens - a wrist worn color sensor (CS) array to detect color coded surfaces. We describe the hardware design, the identification method and a simple color coded shelf setup to evaluate the system. Initial results show 100% accuracy with user independent training.   [Download]

BibTex

@inproceedings {Amiraslanov:WiCoSens::2017:9265,
	number = {}, 
	month = {9}, 
	year = {2017}, 
	title = {WiCoSens: a wearable, intelligent color sensing platform for non-invasive storage shelf identification}, 
	journal = {}, 
	volume = {}, 
	pages = {102-105}, 
	publisher = {ACM, New York}, 
	author = {Orkhan Amiraslanov, Hymalai Bello, Gerald Pirkl, Peter Hevesi, Paul Lukowicz}, 
	keywords = {Color Sensor; Wearables; Order Picking; Warehouse Management; Activity Recognition}
}