NDLI: Hand gesture recognition with depth images: A review

Content Provider	IEEE Xplore Digital Library
Author	Suarez, J. Murphy, R.R.
Copyright Year	2012
Description	Author affiliation: Center for Robot-Assisted Search and Rescue, Texas A&M University, College Station, 77840 USA (Suarez, J.; Murphy, R.R.)
Abstract	This paper presents a literature review on the use of depth for hand tracking and gesture recognition. The survey examines 37 papers describing depth-based gesture recognition systems in terms of (1) the hand localization and gesture classification methods developed and used, (2) the applications where gesture recognition has been tested, and (3) the effects of the low-cost Kinect and OpenNI software libraries on gesture recognition research. The survey is organized around a novel model of the hand gesture recognition process. In the reviewed literature, 13 methods were found for hand localization and 11 were found for gesture classification. 24 of the papers included real-world applications to test a gesture recognition system, but only 8 application categories were found (and three applications accounted for 18 of the papers). The papers that use the Kinect and the OpenNI libraries for hand tracking tend to focus more on applications than on localization and classification methods, and show that the OpenNI hand tracking method is good enough for the applications tested thus far. However, the limitations of the Kinect and other depth sensors for gesture recognition have yet to be tested in challenging applications and environments.
Starting Page	411
Ending Page	417
File Size	644808
Page Count	7
File Format	PDF
ISBN	9781467346047
ISSN	19449445
e-ISBN	9781467346061
e-ISBN	9781467346054
DOI	10.1109/ROMAN.2012.6343787
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-09-09
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Gesture recognition Cameras Image segmentation Sensor systems Handicapped aids Hidden Markov models
Content Type	Text
Resource Type	Article

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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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