Publikation

Recognizing Subtle User Activities and Person Identity with Cheap Resistive Pressure Sensing Carpet

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

In: (Hrsg.). International Conference on Intelligent Environments (IE-14) IEEE 2014.

Abstrakt

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.

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence