Footstep Identification from Pressure Signals Using Hidden Markov Models
نویسندگان
چکیده
This paper reports initial experiments on recognizing walkers from measurements with a pressure-sensitive floor, more specifically, a floor covered with EMFi material. A 100 square meter pressure-sensitive floor (EMFi floor) was recently installed in the Intelligent Systems Group’s research laboratory at the University of Oulu as part of a smart living room. The floor senses the changes in the pressure against its surface and produces voltage signals of the event. The test set for footstep identification includes EMFi data from 3 walkers. The testees walked casually around the floor for 30 seconds, and the steps were extracted from the data and featurized. Identification was made with discrete Hidden Markov Models. Although the research is preliminary, the results show a 78 % overall success rate of footstep identification and are hence very promising.
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