Sensor fusion for a biometric system using gait

Philippe C. Cattin, and Daniel Zlatnik, and Ruedi Borer, . (2001) Sensor fusion for a biometric system using gait. In: Conference documentation / International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI 2001 : August 20 - 22, 2001, Kongresshaus, Baden-Baden, Germany. Düsseldorf, pp. 233-238.

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Official URL: http://edoc.unibas.ch/dok/A6308292

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We consider a multimodal biometric system which authenticates people based on their gait. Computationally efficient techniques were developed to extract characteristic gait features from ground reaction force and video data of the walking subject. Specifically, the data consists of one classifier based on the ground reaction force and three based on visual features. A new variant of the generalized principal component analysis is used to efficiently reduce data dimensionality and to optimize class separability. A technique based on the Bayes risk criterion subsequently integrates the multiple classifiers. The proposed multimodal approach significantly increases recognition robustness and reliability. Experimental results showed an equal error rate of less than 0.3% which makes the method applicable for medium security applications.
Faculties and Departments:03 Faculty of Medicine > Departement Biomedical Engineering > Imaging and Computational Modelling > Center for medical Image Analysis & Navigation (Cattin)
UniBasel Contributors:Cattin, Philippe Claude
Item Type:Conference or Workshop Item, refereed
Conference or workshop item Subtype:Conference Paper
Note:Publication type according to Uni Basel Research Database: Conference paper
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Last Modified:05 Jun 2015 08:52
Deposited On:05 Jun 2015 08:52

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