Study on brush gesture feature recognition based on the 3D point cloud

Abstract

In recent years, more and more people are learning Chinese calligraphy, and for how to correctly brush pen and brush, the less people know about this. This topic combines the spatial point cloud data and gesture recognition technology, in view of the common brush pen gestures — five fingers penned method for the study of feature selection and extraction. Innovation point of this article is the gesture recognition technology, space motion capture technology, pattern recognition technology, etc., establish the platform of brushes gesture recognition on static feature and dynamic brush gestures characteristics for identification, guide people to correctly brush pen and brush.