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to produce an individual hand signature This signature is then converted to a template that is used for future authentication Future scans are matched against the stored information to verify identity A method to determine dermal properties for IR absorption is already a patented component for liveness A second approach utilizes the uniqueness of the pressure applied when an object is gripped As every orthopedic surgeon knows, the human hand has 19 bones, 19 joints, and 20 muscles with 22 degrees of freedom offering considerable scope for biometrics to distinguish between humans on the basis of neurophysiological control of finger, hand, and wrist motion A pressure sensor captures and digitizes the individual signature to create a template for future mapping Challenges remain As is the case for all esoteric biometrics, the argument for distinctiveness is not supported by any empirical study, but rather by assumptions As for robustness, ambient temperature and the condition of the subject will impact infrared sensing devices It is reasonable to expect that age and health status of the subject will impact how one grips an item In operational terms, hand grip technology is not intrusive; however, it might prove unpopular with those who are concerned about hygiene or in cultures where hand gripping is not common For example, in certain Asian countries, such as Japan, it is not customary to shake hands A bow of the head is preferred (which might lead to head bow biometrics) Researchers at the University of Twente in the Netherlands, including Pieter Hartel, Cees Slump, and Raymond Veldhius, aim to develop Smart Objects, 6 which will identify their owners from their owner s grip Such hand-held Smart Objects might include the controls of aircraft, vehicles, and dangerous machinery, firearms, and military weapon systems The New Jersey Institute of Technology (NJIT) is also looking at grip biometrics as one way of securing a gun7 The NJIT study focused on three of the most promising biometrics:.

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Fingerprint recognition systems that can be captured from a handgun s normal grip Static grip detection; a hand measurement Dynamic grip detection, the way a user squeezes a handgun s handle immediately before firing

60 dBmV with narrowest resolution BW 60 dBc with analyzer s mixer input 10 dBmV Various analyzers may state this differently 1 kHz, 3 kHz ,4 MHz video Bw; usually analyzers have res Bw of 5 MHz, 1 MHz, 300 kHz, 100 kHz, 30 kHz, 10 kHz, 3 kHz, and 1 kHz equal to resolution bandwidths variable 0 60 dB (10 dB steps), some analyzers have multiple steps of 2 dB each (internal or external) gain gure 7 dB 75 ohms 20 dB and noise

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University of Twente, Department of Computer Science, Distributed and Embedded Systems Research Group Research, available at http://wwwhomecsutwentenl/~pieter/ projects/smartobjectspdf New Jersey Institute of Technology, Section 4: Technology Assessment, Personalized Weapons Technology Project Progress Report With Findings and Recommendations, April 15, 2001, available at http://wwwnjitedu/pwt/reports/VolumeI/ 11Sect4-Technologieshtm#Biometric

Resolution bandwidths:

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