DocumentCode
254899
Title
Recognizing Subtle User Activities and Person Identity with Cheap Resistive Pressure Sensing Carpet
Author
Jingyuan Cheng ; Sundholm, Mathias ; Bo Zhou ; Kreil, Matthias ; Lukowicz, Paul
Author_Institution
German Res. Center for Artificial Intell. (DFKI), Kaiserslautern, Germany
fYear
2014
fDate
June 30 2014-July 4 2014
Firstpage
148
Lastpage
153
Abstract
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 m2 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.
Keywords
ambient intelligence; furniture; image motion analysis; image recognition; matrix algebra; pressure sensors; ambient intelligence; body posture; furniture; pressure sensing carpet; pressure sensor matrix; user activity recognition; weight distribution; Accuracy; Feature extraction; Field programmable gate arrays; Foot; Hardware; Noise; Sensors; activity recognition; ambient intelligence; pressure sensor;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Environments (IE), 2014 International Conference on
Conference_Location
Shanghai
Type
conf
DOI
10.1109/IE.2014.29
Filename
6910440
Link To Document