Jingyuan Cheng, Mathias Sundholm, Bo Zhou, Matthias Kreil, Paul Lukowicz


We demonstrate through a pressure sensor matrix, that weight distribution on feet is influenced by body posture. A small cheap carpet equipped with low precision pressure sensor matrix is already sufficient to detect subtle activities and identity of the person on the carpet. By a 0.4 m^2 matrix of 32*32, 12 bit pressure sensors, we achieve 78.7% accuracy for 11 test subjects performing 7 subtle activities (open 7 different drawers or cabinet doors) and 88.6% accuracy in recognizing who has performed the activities. We thus see the potential of using a single carpet as a unified approach in houses to detect how inhabitants interact with the furniture without attaching different sensors onto each single furniture.


@inproceedings {Cheng:Recognizing:2014:7326,
	number = {}, 
	month = {}, 
	year = {2014}, 
	title = {Recognizing Subtle User Activities and Person Identity with Cheap Resistive Pressure Sensing Carpet}, 
	journal = {}, 
	volume = {}, 
	pages = {}, 
	publisher = {IEEE}, 
	author = {Jingyuan Cheng, Mathias Sundholm, Bo Zhou, Matthias Kreil, Paul Lukowicz}, 
	keywords = {}