FontanaR.J.GundersonS.J., “Ultra-wideband precision asset location system”. Conference on Ultra Wideband Systems and Technologies, IEEE, May 2002, Baltimore, MD.
2.
PahlavanK.LiX.MakelaJ., “Indoor geolocation science and technology”, IEEE Communications Magazine, vol. 40, no. 2, pp. 112–118, Feb. 2002.
3.
PahlavanK.KrishnamurthyP.BeneatA., “Wideband radio propagation modeling for indoor geolocation applications.”IEEE Communications Magazine, April 1998, pp. 60–65.
4.
AlabacakC., “Analysis of Ultra Wide Band (UWB) Technology for an Indoor Geolocation and Physiological Monitoring System.”Air Force Institute of Technology. Ohio, March 2002.
5.
CassioliD.WinM.Z.VatalaroF.MolischA.F.“Performance of low-complexity RAKE reception in a realistic UWB channel.”ICC 2002 — IEEE International Conference on Communications, vol. 25, no. 1, April 2002 pp. 763–767.
6.
ChungW.HaD.“An accurate ultra wideband (UWB) ranging for precision asset location.”IEEE on Ultra Wideband Systems and Technologies, pp. 389–393, November 2003, Reston, VA.
7.
FontanaRJRichleyEBarneyJ, “Commercialization of an Ultra Wideband Precision Asset Location System.”IEEE Conference on Ultra Wideband Systems and Technologies, November 2003, Reston, VA.
8.
CassioliD.WinM.Z.MolischA.F., “A statistical model for the UWB indoor channel.”IEEE, Vehicular Technology Conference, 2001.
9.
NietoM.Johnston-DoddsK.SimmonsC.W., “Public and private applications of video surveillance and biometric technologies.”California Research Bureau, March, 2002.
10.
PhillipsP.J.GrotherP.MichealsR.BlackburnD.M.TabassiE.BoneM., “Face Recognition Vendor Test.”National Institute of Standards and Technology, 2003.
11.
AlanA., “Face-Scanning Failures Need to Be Publicized to Help Security.”Gartner Research Publications, FT-20-9596, 2003.
12.
JainA.K.PankantiS.PrabhakarS.HongL.RossA.WaymanJ.L., “Biometrics: A Grand Challenge.”IEEE Proceedings of International Conference on Pattern Recognition, Cambridge, Aug. 2004.
13.
LiuS.SilvermanM.“A Practical Guide to Biometric Security Technology,”IT Professional, vol. 03, no. 1, pp. 27–32, January/February, 2001.
14.
GamassiM.LazzaroniM.MisinoM.PiuriV.SanaD.ScottiF., “Quality Assessment of Biometric Systems: A Comprehensive Perspective Based On Accuracy and Performance Measurement.”IEEE Transactions on Instrumentation and Measurement, Vol. 54, No. 4, August 2005.
15.
SnelickR.UludagU.MinkA.IndovinaM.JainA., “Large-Scale Evaluation of Multimodal Biometric Authentication Using State-of-the-Art Systems.”Transactions on Pattern Analysis and Machine Intelligence, Vol. 27, No. 3, pp. 450–455, March 2005.
16.
JainA.K.RossA., “Multi-biometric systems.”Communications of the ACM, Volume 47, Issue 1, January 2004.
17.
Van VaerenberghJ.VrankenR.BriersL.BriersH.“A Neural Network for Recognizing Movement Patterns During Repetitive Self-Paced Movements Of The Fingers In Opposition To The Thumb.”Journal of Rehabilitation Medicine, 33: pp. 256–259, 2001.
18.
MurrayM.P., “Gait as a total pattern of movement”.”American Journal of Physical Medicine, 46(1): pp. 290–333, February 1967.
19.
CunadoD.NixonM.S.CarterJ.N., “Automatic gait recognition via model-based evidence gathering.” In Proceedings of AutoID 1999: IEEE Workshop on Identification Advanced Technologies, pages pp. 27–30, November 1999.
20.
LaxmiV.CarterJ.N.DamperR.I.“Biologically-motivated human gait classifiers.” In Proceedings of Third IEEE Workshop on Automatic Identification Advanced Technologies, AutoID1902, pages pp. 17–22, July 2002.
21.
UrtasunR.FuaP., “3D Tracking for Gait Characterization and Recognition.” In Proceedings of Sixth IEEE International Conference on Automatic Face and Gesture Recognition, May 2004.
22.
HallE.T., “Proxemics.”Current Anthropology.9: pp. 83–108, 1968.