Sign Language Recognition with the Kinect Sensor Based on Conditional Random Fields
Author:
Publisher
MDPI AG
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
Link
http://www.mdpi.com/1424-8220/15/1/135/pdf
Reference18 articles.
1. Sign language spotting with a threshold model based on conditional random fields;Yang;IEEE Trans. Pattern Anal. Mach. Intell.,2009
2. Simultaneous spotting of signs and fingerspellings based on hierarchical conditional random fields and boostmap embeddings;Yang;Pattern Recognit.,2010
3. Robust sign language recognition by combining manual and non-manual features based on conditional random field and support vector machine;Yang;Pattern Recognit. Lett.,2013
4. Towards real-time and rotation-invariant American Sign Language alphabet recognition using a range camera;Lahamy;Sensors,2012
5. Robust part-based hand gesture recognition using kinect sensor;Ren;IEEE Trans. Multimed.,2013
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3. A survey on recent advances in Sign Language Production;Expert Systems with Applications;2024-06
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5. Bibliography;Pick, Click, Flick!;2024-03-14
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