Gomez-Donoso, Francisco, Cazorla, Miguel, Garcia-Garcia, Alberto, Garcia-Rodriguez, Jose
Automatic Schaeffer's gestures recognition system
Expert Systems. 2016, 33(5): 480-488. doi:10.1111/exsy.12160
URI: http://hdl.handle.net/10045/65252
DOI: 10.1111/exsy.12160
ISSN: 0266-4720 (Print)
Abstract: 
Schaeffer's sign language consists of a reduced set of gestures designed to help children with autism or cognitive learning disabilities to develop adequate communication skills. Our automatic recognition system for Schaeffer's gesture language uses the information provided by an RGB-D camera to capture body motion and recognize gestures using dynamic time warping combined with k-nearest neighbors methods. The learning process is reinforced by the interaction with the proposed system that accelerates learning itself thus helping both children and educators. To demonstrate the validity of the system, a set of qualitative experiments with children were carried out. As a result, a system which is able to recognize a subset of 11 gestures of Schaeffer's sign language online was achieved.
Keywords:Schaeffer’s gestures, 3D gesture recognition, Human-machine Interaction, RGB-D sensors
Wiley
info:eu-repo/semantics/article