NDLI: uWave: Accelerometer-based personalized gesture recognition and its applications

Content Provider	IEEE Xplore Digital Library
Author	Jiayang Liu Zhen Wang Lin Zhong Wickramasuriya, J. Vasudevan, V.
Copyright Year	2009
Description	Author affiliation: Department. Of Electrical Computer Engineering, Rice University, Houston 77005, USA (Jiayang Liu; Zhen Wang; Lin Zhong) \|\| Pervasive Platforms & Architectures Lab, Applications & Software Research Center, Motorola Labs, USA (Wickramasuriya, J.; Vasudevan, V.)
Abstract	The proliferation of accelerometers on consumer electronics has brought an opportunity for interaction based on gestures or physical manipulation of the devices. We present uWave, an efficient recognition algorithm for such interaction using a single three-axis accelerometer. Unlike statistical methods, uWave requires a single training sample for each gesture pattern and allows users to employ personalized gestures and physical manipulations. We evaluate uWave using a large gesture library with over 4000 samples collected from eight users over an elongated period of time for a gesture vocabulary with eight gesture patterns identified by a Nokia research. It shows that uWave achieves 98.6% accuracy, competitive with statistical methods that require significantly more training samples. Our evaluation data set is the largest and most extensive in published studies, to the best of our knowledge. We also present applications of uWave in gesture-based user authentication and interaction with three-dimensional mobile user interfaces using user created gestures.
Starting Page	1
Ending Page	9
File Size	753975
Page Count	9
File Format	PDF
ISBN	9781424433049
DOI	10.1109/PERCOM.2009.4912759
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-03-09
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vocabulary Accelerometers Statistical analysis Application software Consumer electronics Pervasive computing Libraries Hardware Computer vision Microcontrollers personalized gesture gesture recognition acceleration dynamic time warping
Content Type	Text
Resource Type	Article

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