DocumentCode :
3647919
Title :
Intuitive gesture based user identification system
Author :
Jože Guna;Iztok Humar;Matevž Pogačnik
Author_Institution :
University of Ljubljana, Faculty of Electrical Engineering, Laboratory for Telecommunications, Trž
fYear :
2012
fDate :
7/1/2012 12:00:00 AM
Firstpage :
629
Lastpage :
633
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.
Keywords :
"Acceleration","Time series analysis","Accelerometers","Gesture recognition","Performance evaluation","Iris recognition"
Publisher :
ieee
Conference_Titel :
Telecommunications and Signal Processing (TSP), 2012 35th International Conference on
Print_ISBN :
978-1-4673-1117-5
Type :
conf
DOI :
10.1109/TSP.2012.6256373
Filename :
6256373
Link To Document :
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