This awardee has received supplemental funding. This award detail page includes information about both the original award and supplemental awards.
Description of original award (Fiscal Year 2004, $1,133,941)
The New Jersey Institute of Technology (NJIT) will develop and demonstrate a technology for firearm user authentication based upon biometric determination using grip dynamic recognition. The key objective of this development is to validate and improve the underlying software and to customize the supporting hardware for reliable and affordable integration with commercially produced firearms.
The New Jersey Institute of Technology has developed and demonstrated a technology for user identification based upon biometric determination using Dynamic Grip Recognition (DGR). It has direct applicability to safeguarding weapons from unauthorized use, accidental discharge and illegal transfer and it is a key technology towards the development of a child-proof smart gun.
The goal of this proposal is construct a prototype demonstrator. It includes all of the previous recipients of NIJ funding and leverages their experience and developments leading to electronic safety systems for use in handguns. NJIT seeks this funding to bring biometric-based user authentication technology to a point where commercial development can proceed using a common, proven approach applied to the broadest set of weapons and suppliers.
NJIT has developed and demonstrated a technology for user identification based upon biometric determination using Dynamic Grip Recognition. It has direct applicability to safeguarding weapons from unauthorized use, accidental discharge and illegal transfer and it is a key technology towards the development of a child-proof smart gun.
The goal of this effort is to bring the smart gun technology towards commercialization, concentrating on issues such as the recognition rate of the Dynamic Grip Recognition behavioral biometric algorithm and hardware reliability. NJIT proposes to continue work on improving the recognition rate and the optimization of the signal relevance and frequency response of the sensors. This project will also concentrate on improving the hardware to accommodate the operations in general environments where vibration, temperature changes, battery life and other ambient factors become significant.
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