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EUROSSC
2008
Springer

Gaussian Process Person Identifier Based on Simple Floor Sensors

14 years 1 months ago
Gaussian Process Person Identifier Based on Simple Floor Sensors
Abstract. This paper describes methods and sensor technology used to identify persons from their walking characteristics. We use an array of simple binary switch floor sensors to detect footsteps. Feature analysis and recognition are performed with a fully discriminative Bayesian approach using a Gaussian Process (GP) classifier. We show the usefulness of our probabilistic approach on a large data set consisting of walking sequences of nine different subjects. In addition, we extract novel features and analyse practical issues such as the use of different shoes and walking speeds, which are usually missed in this kind of experiment. Using simple binary sensors and the large nine-person data set, we were able to achieve promising identification results: a 64% total recognition rate for single footstep profiles and an 84% total success rate using longer walking sequences (including 5 - 7-footstep profiles). Finally, we present a context-aware prototype application. It uses person identif...
Jaakko Suutala, Kaori Fujinami, Juha Röning
Added 19 Oct 2010
Updated 19 Oct 2010
Type Conference
Year 2008
Where EUROSSC
Authors Jaakko Suutala, Kaori Fujinami, Juha Röning
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