TY - GEN
T1 - Enhancing handgun safety with embedded signal processing and dynamic grip recognition
AU - Chang, Timothy
AU - Chen, Zong
AU - Cheng, Biao
AU - Cody, Michael
AU - Liska, Michael
AU - Marshall, William
AU - Recce, Michael
AU - Sebastian, Donald
AU - Shishkin, Dimitri
PY - 2005
Y1 - 2005
N2 - This paper describes the first phase results in personalized weapons technology utilizing biometrics, in order to develop a user only system that recognizes unique human characteristics of a specific individual. In particular, the investigation is focused on development of a Dynamic Grip Recognition (DGR) system where a sensor embedded grip and digital signal processing unit have been fabricated to perform user recognition in real time. Specifically, grips with 16 piezoelectric sensors have been developed and fitted to an M9 pistol. In addition, the required trigger switch has also been developed and incorporated into the DGR system. The DGR method performed as well in live fire (93% recognition rate) as it did in the simulator environment (95% recognition rate). Furthermore, all of the electronics, signal capture devices and sensors were demonstrated to be unaffected by the environmental extremes of live fire (over 400 shots), and to perform well.
AB - This paper describes the first phase results in personalized weapons technology utilizing biometrics, in order to develop a user only system that recognizes unique human characteristics of a specific individual. In particular, the investigation is focused on development of a Dynamic Grip Recognition (DGR) system where a sensor embedded grip and digital signal processing unit have been fabricated to perform user recognition in real time. Specifically, grips with 16 piezoelectric sensors have been developed and fitted to an M9 pistol. In addition, the required trigger switch has also been developed and incorporated into the DGR system. The DGR method performed as well in live fire (93% recognition rate) as it did in the simulator environment (95% recognition rate). Furthermore, all of the electronics, signal capture devices and sensors were demonstrated to be unaffected by the environmental extremes of live fire (over 400 shots), and to perform well.
UR - http://www.scopus.com/inward/record.url?scp=33749665132&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33749665132&partnerID=8YFLogxK
U2 - 10.1109/IECON.2005.1569229
DO - 10.1109/IECON.2005.1569229
M3 - Conference contribution
AN - SCOPUS:33749665132
SN - 0780392523
SN - 9780780392526
T3 - IECON Proceedings (Industrial Electronics Conference)
SP - 2107
EP - 2113
BT - IECON 2005
T2 - IECON 2005: 31st Annual Conference of IEEE Industrial Electronics Society
Y2 - 6 November 2005 through 10 November 2005
ER -