Title
Continuous hand gesture recognition based on trajectory shape information.
Abstract
•Simultaneous recognition and segmentation of continuous hand gesture trajectories based on trajectory shape information.•Generating variable sized candidates for trajectory segments using shape-based key frame extraction.•Fusion of trajectory shape recognition and temporal feature recognition to stream gesture input.
Year
DOI
Venue
2017
10.1016/j.patrec.2017.05.016
Pattern Recognition Letters
Keywords
Field
DocType
Gesture recognition,Human robot interaction,Convolution neural network,Conditional random fields,Trajectory segmentation,Trajectory shape modeling
Conditional random field,Computer vision,Pattern recognition,Convolutional neural network,Segmentation,Gesture,Computer science,Feature recognition,Gesture recognition,Artificial intelligence,Key frame,Trajectory
Journal
Volume
Issue
ISSN
99
C
0167-8655
Citations 
PageRank 
References 
10
0.54
28
Authors
3
Name
Order
Citations
PageRank
cheoljong yang1282.07
David K. Han2237.07
Hanseok Ko342180.24