NDLI: Intuitive gesture based user identification system

Content Provider	IEEE Xplore Digital Library
Author	Guna, J. Humar, I. Pogacnik, M.
Copyright Year	2012
Description	Author affiliation: University of Ljubljana, Faculty of Electrical Engineering, Laboratory for Telecommunications, Tržaška 25, 1000, Slovenia (Guna, J.) \|\| University of Ljubljana, Faculty of Electrical Engineering, Laboratory for Telecommunications, Slovenia (Humar, I.; Pogacnik, M.)
Abstract	We present an intuitive and very easy to use implicit gesture based identification system that is especially suited for security-wise non-critical applications, such as the user login in the multimedia services. The term “implicit gesture” in our work refers to a natural physical hand manipulation performed by the user who takes hold of the control device and simply picks it up from its neutral motionless position - a “pick-up” gesture. For reference with other related systems, explicit and well defined personal name identification gestures were used as well. User evaluation study results show that 100% recognition accuracy was achieved when using explicit identification signature gestures and over 91% recognition accuracy was achieved when using the implicit “pick-up” gesture. Performance of the proposed system is comparable to results of other respectable related works when using explicit identification gestures, while also showing that implicit gesture based user identification is possible and viable.
Starting Page	629
Ending Page	633
File Size	1143755
Page Count	5
File Format	PDF
ISBN	9781467311175
e-ISBN	9781467311182
DOI	10.1109/TSP.2012.6256373
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-03
Publisher Place	Czech Republic
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Accelerometers Performance evaluation Non-invasive Time series analysis Gesture recognition Gesture Accelerometer Human-computer interaction Acceleration User identification Iris recognition
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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