Gesture Recognition Implemented on a Personal Limited Device. / Ducray, Benoit; Cobourne, Sheila; Mayes, Keith; Markantonakis, Konstantinos.

2017. Paper presented at International Conference on Information and Communication Systems, Irbid, Jordan.

Research output: Contribution to conferencePaper

E-pub ahead of print

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Gesture Recognition Implemented on a Personal Limited Device. / Ducray, Benoit; Cobourne, Sheila; Mayes, Keith; Markantonakis, Konstantinos.

2017. Paper presented at International Conference on Information and Communication Systems, Irbid, Jordan.

Research output: Contribution to conferencePaper

Harvard

Ducray, B, Cobourne, S, Mayes, K & Markantonakis, K 2017, 'Gesture Recognition Implemented on a Personal Limited Device.' Paper presented at International Conference on Information and Communication Systems, Irbid, Jordan, 4/04/17 - 6/04/17, . DOI: 10.1109/IACS.2017.7921966

APA

Ducray, B., Cobourne, S., Mayes, K., & Markantonakis, K. (2017). Gesture Recognition Implemented on a Personal Limited Device.. Paper presented at International Conference on Information and Communication Systems, Irbid, Jordan.DOI: 10.1109/IACS.2017.7921966

Vancouver

Ducray B, Cobourne S, Mayes K, Markantonakis K. Gesture Recognition Implemented on a Personal Limited Device.. 2017. Paper presented at International Conference on Information and Communication Systems, Irbid, Jordan. Available from, DOI: 10.1109/IACS.2017.7921966

Author

Ducray, Benoit; Cobourne, Sheila; Mayes, Keith; Markantonakis, Konstantinos / Gesture Recognition Implemented on a Personal Limited Device.

2017. Paper presented at International Conference on Information and Communication Systems, Irbid, Jordan.

Research output: Contribution to conferencePaper

BibTeX

@conference{3806b4479a5c4206a4897755a4f4d51d,
title = "Gesture Recognition Implemented on a Personal Limited Device.",
keywords = "Gesture Recognition, Smart Card, Host Card Emulation, Dynamic Time Warping, Biometrics, Dynamic biometrics, Biometric, Gesture authentication, Dynamic biometric, Kinect, Leap Motion, microsoft kinect",
author = "Benoit Ducray and Sheila Cobourne and Keith Mayes and Konstantinos Markantonakis",
year = "2017",
month = "5",
doi = "10.1109/IACS.2017.7921966",

}

RIS

TY - CONF

T1 - Gesture Recognition Implemented on a Personal Limited Device.

AU - Ducray,Benoit

AU - Cobourne,Sheila

AU - Mayes,Keith

AU - Markantonakis,Konstantinos

PY - 2017/5/11

Y1 - 2017/5/11

N2 - For a biometrics system, one of the principal challenges is to protect the biometric reference template, as if a malicious individual is able to obtain this template, the genuine user would not be able to reuse the biometric for any application. A solution may be to use a new form of authentication based on gesture recognition. This type of authentication has the added advantage that in the case of compromise, the gesture can be changed yet still retain the advantages of the biometric input. In this paper, we investigate whether it is feasible to implement a Gesture Recognition system on a personal limited device such as a smart card. To do this, we set out an experiment using sample gestures based on practical results of gesture authentication trials and an optimised version of Dynamic Time Warping (DTW) algorithm to analyse the data captured. We implemented them on both a contact Smart Card (SC) and the more powerful Samsung Galaxy S4 mobile phone, using Host Card Emulation (HCE). The result of this experiment was that it would take around a minute for the SC and a second for HCE.

AB - For a biometrics system, one of the principal challenges is to protect the biometric reference template, as if a malicious individual is able to obtain this template, the genuine user would not be able to reuse the biometric for any application. A solution may be to use a new form of authentication based on gesture recognition. This type of authentication has the added advantage that in the case of compromise, the gesture can be changed yet still retain the advantages of the biometric input. In this paper, we investigate whether it is feasible to implement a Gesture Recognition system on a personal limited device such as a smart card. To do this, we set out an experiment using sample gestures based on practical results of gesture authentication trials and an optimised version of Dynamic Time Warping (DTW) algorithm to analyse the data captured. We implemented them on both a contact Smart Card (SC) and the more powerful Samsung Galaxy S4 mobile phone, using Host Card Emulation (HCE). The result of this experiment was that it would take around a minute for the SC and a second for HCE.

KW - Gesture Recognition

KW - Smart Card

KW - Host Card Emulation

KW - Dynamic Time Warping

KW - Biometrics

KW - Dynamic biometrics

KW - Biometric

KW - Gesture authentication

KW - Dynamic biometric

KW - Kinect

KW - Leap Motion

KW - microsoft kinect

U2 - 10.1109/IACS.2017.7921966

DO - 10.1109/IACS.2017.7921966

M3 - Paper

ER -