Grip-Pattern Recognition for Smart Guns

Kauffman, J.A. and Bazen, A.M. and Gerez, S.H. and Veldhuis, R.N.J. (2003) Grip-Pattern Recognition for Smart Guns. In: ProRISC 2003, 14th Workshop on Circuits, Systems and Signal Processing, 26-27 November 2003, Veldhoven, the Netherlands.

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Abstract:	This paper describes the design, implementation and evaluation of a user-verification system for a smart gun, which is based on grip-pattern recognition. An existing pressure sensor consisting of an array of 44 x 44 piezoresistive elements has been used. An interface has been developed to acquire pressure images from the sensor. The values of the pixels in the pressure-pattern images are used as inputs for a verification algorithm, which is currently implemented in software on a computer. The verification algorithm is based on a likelihood-ratio classifier for Gaussian probability densities. First results indicate that it is possible to use grip-pattern recognition for biometric verification, when allowing a certain false-rejection and false-acceptance rate. However, more measurements are needed to give a more reliable indication of the systems performance.
Item Type:	Conference or Workshop Item
Copyright:	© STW, Technology Foundation 2004
Faculty:	Electrical Engineering, Mathematics and Computer Science (EEMCS)
Research Group:	Computer Architecture for Embedded Systems (CAES) Signals and Systems (SAS)
Link to this item:	http://purl.utwente.nl/publications/46699
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