Title :
Hand Motion Recognition and Visualisation for Direct Sign Writing
Author :
Lu, Gan ; Shark, Lik-Kwan ; Hall, Geoff ; Zeshan, Ulrike
Author_Institution :
Appl. Digital Signal & Image Process. Res. Centre (ADSIP), Univ. of Central Lancashire, Preston, UK
Abstract :
Although SignWriting provides an intuitive notation system based on pictorial symbols to enable any sign based language in the world to be transcribed into a written form, it is a time consuming process for keyboard based input. To address the challenge of direct sign writing, the paper presents a human-computer-interaction system developed for recognition and visualisation of hand movements. The system is shown to be able to display the corresponding SignWriting symbols for various hand movements performed by two hands based on motion characteristics such as movement planes, movement directions, straight/curve movement paths, clockwise/anti-clockwise movements, and single/repeated movements.
Keywords :
data visualisation; handwriting recognition; handwritten character recognition; human computer interaction; SignWriting symbols; direct sign writing visualization; hand motion recognition; human-computer-interaction system; sign based language; Clocks; Floors; Handicapped aids; Three dimensional displays; Tracking; Trajectory; Writing; Direct SignWriting visualisation; Hand motion recognition;
Conference_Titel :
Information Visualisation (IV), 2010 14th International Conference
Conference_Location :
London
Print_ISBN :
978-1-4244-7846-0