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A Multi-sensory Gesture-Based Login Environment

Published: 13 October 2015 Publication History

Abstract

Logging on to a system using a conventional keyboard may not be feasible in certain environments, such as, in a surgical operation theatre or in an industrial manufacturing facility. We have developed a multi-sensory gesture based login system that allows a user to access secure information using body gestures. The system can be configured to use different types of gestures according to the type of sensors available to the user. We have proposed a simple scheme to represent all alphanumeric characters required for password entry as gestures within the multi-sensory environment. Our scheme is scalable enough to support sensors that detect a large number of gestures to those that can only accept a few. This allows the system to be used in a variety of situations such as usage by disabled persons with limited ability to perform gestures. We are in the midst of deploying our developed system in a clinical environment.

References

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Jain, A., Ross, A. and Prabharkar, S. 2004. An introduction to biometrics. IEEE Transactions On Circuits and System for Video Technology, 14, 1, 4 - 20.
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Min, R.; Kose, N. and Dugelay, J.-L. 2014. KinectFaceDB: A Kinect Database for Face Recognition. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 44, 11, 1534 - 1548.
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Meng, Y., Wong, D. S., Schlegel, R., and Kwok, L.-f. 2013. Touch gestures based biometric authentication scheme for touchscreen mobile phones. Information Security and Cryptology, 7763, 331--350.
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Rahman, ASM Mahfujur, Hossain, M. Anwar, Parra, Jorge and Saddik, Abdulmotaleb El. 2009. Motion-path based gesture interaction with smart home services. In Proceedings of the 17th ACM international conference on Multimedia (MM '09). ACM, New York, NY, USA, 761--764.
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Qamar, A., Khan, A. R., Husain, S. O., Rahman, A. and Basalamah, S. 2015. A Multi-Sensory Gesture-Based Occupational Therapy Environment for Controlling Home Appliances. In Proceedings of ACM International Conference on Multimedia Retrieval, (ACM ICMR), June 23--26.
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Wu, J., Ishwar, P., Konrad, J., 2014. The value of posture, build and dynamics in gesture-based user authentication. In Proceedings of IEEE International Joint Conference on Biometrics (IJCB), 1--8.
[7]
http://www.leapmotion.com.
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https://www.thalmic.com/en/myo/.
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Weichert, F., Bachmann, D., Rudak, B., & Fisseler, D. 2013. "Analysis of the accuracy and robustness of the Leap Motion Controller". Sensors, 13(5), 6380--6393.
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Arstechnica.com, 2015. Anatomy of a hack: How crackers ransack passwords like "qeadzcwrsfxv1331". http://arstechnica.com/security/2013/05/how-crackers-make-minced-meat-out-of-your-passwords/2.

Cited By

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  • (2018)Assessment of Dry Epidermal Electrodes for Long-Term Electromyography MeasurementsSensors10.3390/s1804126918:4(1269)Online publication date: 20-Apr-2018
  • (2016)Multi-sensory Cyber-Physical Therapy System for Elderly MonitoringHuman Aspects of IT for the Aged Population. Healthy and Active Aging10.1007/978-3-319-39949-2_9(89-100)Online publication date: 21-Jun-2016

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cover image ACM Conferences
MM '15: Proceedings of the 23rd ACM international conference on Multimedia
October 2015
1402 pages
ISBN:9781450334594
DOI:10.1145/2733373
Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 October 2015

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Author Tags

  1. accessibility
  2. human factors

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  • Demonstration

Funding Sources

  • King Abdulaziz City of Science and Technology

Conference

MM '15
Sponsor:
MM '15: ACM Multimedia Conference
October 26 - 30, 2015
Brisbane, Australia

Acceptance Rates

MM '15 Paper Acceptance Rate 56 of 252 submissions, 22%;
Overall Acceptance Rate 2,145 of 8,556 submissions, 25%

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Cited By

View all
  • (2018)Assessment of Dry Epidermal Electrodes for Long-Term Electromyography MeasurementsSensors10.3390/s1804126918:4(1269)Online publication date: 20-Apr-2018
  • (2016)Multi-sensory Cyber-Physical Therapy System for Elderly MonitoringHuman Aspects of IT for the Aged Population. Healthy and Active Aging10.1007/978-3-319-39949-2_9(89-100)Online publication date: 21-Jun-2016

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