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Hand Gesture Authentication Using Optimal Feature Selection and Dynamic Time Warping based K-nearest Neighbor

Authors:

Md. Al Mehedi Hasan,

Md. ManiruzzamanAuthors Info & Claims

ICECC '22: Proceedings of the 2022 5th International Conference on Electronics, Communications and Control Engineering

Pages 22 - 26

https://doi.org/10.1145/3531028.3531032

Published: 08 July 2022 Publication History

Abstract

Network security is becoming a critical issue due to the spread of computer networks to ordinary people. User authentication is one of the most important part for network security. Although passwords are used in many personal computers, it has many well-known problems and it is antiquated. On the other hand, fingerprint or face based authentication has the risk of information leakage by reproducing fingerprint or face from the photograph. In this paper, we have designed a hand gesture-based user authentication using leap motion to overcome of information leakage problem. We have collected data from 25 participants and used the data to analyse the accuracy of our authentication system. The experimental results are also measured by FAR (False Acceptance Rate) and FRR (False Rejection Rate). At first, Feature selection has been used to select important feature out of 246 features. Finally, Dynamic Time Warping (DTW) based K-Nearest Neighbor (KNN) Classifier has been used to authenticate a person. Our system has produced 96.73% accuracy in user authentication. It is also showed 1.25% FAR and 3.62% FRR. Our results indicate that proposed hand gesture with Leap Motion can be viable authentication approach.

References

[1]

Anum Aftab, Farrukh Aslam Khan, Muhammad Khurram Khan, Haider Abbas, Waseem Iqbal, and Farhan Riaz. "Hand-based multibiometric systems: state-of-the-art and future challenges." PeerJ Computer Science 7 (2021): e707.

[2]

“API Overview” [Online] Available: https://developer-archive.leapmotion.com/documentation/csharp/devguide/Leap_Overview.html [Accessed: 25-Jan-2022]

[3]

Satoru Imura, and Hiroshi Hosobe. "A hand gesture-based method for biometric authentication." In International Conference on Human-Computer Interaction, pp. 554-566. Springer, Cham, 2018.

[4]

Alexander Chan, Tzipora Halevi, and Nasir Memon. "Leap motion controller for authentication via hand geometry and gestures." In International Conference on Human Aspects of Information Security, Privacy, and Trust, pp. 13-22. Springer, Cham, 2015.

[5]

Prof. Saritha L.R, Diana Thomas, Neema Mohandas, Pooja Ramnath, “BEHAVIORAL BIOMETRIC AUTHENTICATION USING LEAP MOTION SENSOR” International Journal of Latest Trends in Engineering and Technology Vol.(8)Issue(1), pp.643-649, 2017

[6]

Grady Xiao, Mariofanna Milanova, and Mengjun Xie. "Secure behavioral biometric authentication with leap motion." In 2016 4th International Symposium on Digital Forensic and Security (ISDFS), pp. 112-118. IEEE, 2016.

[7]

Wong, Alex Ming Hui, and Dae-Ki Kang. "Stationary hand gesture authentication using edit distance on finger pointing direction interval." Scientific Programming 2016 (2016).

[8]

Frank Weichert, Daniel Bachmann, Bartholoäus Rudak, and Denis Fisseler. 2013. “Analysis of the Accuracy and Robustness of the Leap Motion Controller”, Sensors, 13 (5), 6380–6393

[9]

Renzhong Wang, and Dan Tao. "DTW-KNN Implementation for Touch-based Authentication System." In 2019 5th International Conference on Big Data Computing and Communications (BIGCOM), pp. 318-322. IEEE, 2019.

[10]

Ahmad Akl, and Shahrokh Valaee. "Accelerometer-based gesture recognition via dynamic-time warping, affinity propagation, & compressive sensing." In 2010 IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 2270-2273. IEEE, 2010.

[11]

Farideh Jalali-Najafabadi, Michael Stadler, Nick Dand, Deepak Jadon, Mehreen Soomro, Pauline Ho, Helen Marzo-Ortega "Application of information theoretic feature selection and machine learning methods for the development of genetic risk prediction models." Scientific reports 11, no. 1 (2021): 1-14.

[12]

Hamed Naseri, E. Owen D. Waygood, Bobin Wang, Zachary Patterson, and Ricardo A. Daziano. "A Novel Feature Selection Technique to Better Predict Climate Change Stage of Change." Sustainability 14, no. 1 (2022): 40.

[13]

Ilhan Aslan, Andreas Uhl, Alexander Meschtscherjakov, and Manfred Tscheligi. 2014. “Mid-air Authentication Gestures: An Exploration of Authentication Based on Palm and Finger Motions”, ICMI '14 Proceedings of the 16th International Conference on Multimodal Interaction, pp. 311-318

Digital Library

[14]

Aman Chahar, Shivangi Yadav, Ishan Nigam, Richa Singh and Mayank Vatsa. 2015. “A Leap Password based verification system”, 2015 IEEE 7th International Conference on Biometrics Theory, Applications and Systems (BTAS).

Digital Library

[15]

Jinghao Zhao, Jiro Tanaka. 2018. “Hand Gesture Authentication Using Depth Camera”, Advances in Information and Communication Networks, 887, 641-654

Cited By

Goudjil ASmail MPichon LBouchekara HJavaid M(2024)Wiring networks diagnosis using K-Nearest neighbour classifier and dynamic time warpingNondestructive Testing and Evaluation10.1080/10589759.2024.2304710(1-18)Online publication date: 14-Jan-2024
https://doi.org/10.1080/10589759.2024.2304710
Xie HSong WKang W(2023)MSBA-Net: Multiscale Behavior Analysis Network for Random Hand Gesture AuthenticationIEEE Transactions on Instrumentation and Measurement10.1109/TIM.2023.331871872(1-13)Online publication date: 2023
https://doi.org/10.1109/TIM.2023.3318718
Song WKang WZhang Y(2023)Understanding Physiological and Behavioral Characteristics Separately for High-Performance Video-Based Hand Gesture AuthenticationIEEE Transactions on Instrumentation and Measurement10.1109/TIM.2023.328725472(1-13)Online publication date: 2023
https://doi.org/10.1109/TIM.2023.3287254

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ICECC '22: Proceedings of the 2022 5th International Conference on Electronics, Communications and Control Engineering

March 2022

154 pages

ISBN:9781450395847

DOI:10.1145/3531028

Copyright © 2022 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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New York, NY, United States

Publication History

Published: 08 July 2022

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ICECC 2022

ICECC 2022: The 2022 5th International Conference on Electronics, Communications and Control Engineering

March 25 - 27, 2022

Higashi-ku, Japan

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Cited By

Goudjil ASmail MPichon LBouchekara HJavaid M(2024)Wiring networks diagnosis using K-Nearest neighbour classifier and dynamic time warpingNondestructive Testing and Evaluation10.1080/10589759.2024.2304710(1-18)Online publication date: 14-Jan-2024
https://doi.org/10.1080/10589759.2024.2304710
Xie HSong WKang W(2023)MSBA-Net: Multiscale Behavior Analysis Network for Random Hand Gesture AuthenticationIEEE Transactions on Instrumentation and Measurement10.1109/TIM.2023.331871872(1-13)Online publication date: 2023
https://doi.org/10.1109/TIM.2023.3318718
Song WKang WZhang Y(2023)Understanding Physiological and Behavioral Characteristics Separately for High-Performance Video-Based Hand Gesture AuthenticationIEEE Transactions on Instrumentation and Measurement10.1109/TIM.2023.328725472(1-13)Online publication date: 2023
https://doi.org/10.1109/TIM.2023.3287254

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