Title :
Geometric parameters of hand gesture images for wheelchair control
Author :
Kang, Seong-Pal ; Rodnay, Guy ; Tordon, Michal ; Katupitiya, Jayantha
Author_Institution :
Sch. of Mech. & Manuf. Eng., New South Wales Univ., Sydney, NSW, Australia
Abstract :
Geometric properties are used to reliably identify gestures of a bare or gloved hand. A set of optimum hand gestured were experimentally identified. The hand gestures are used to issue commands to a wheelchair. The effect of skin color is eliminated by using a back-lit surface. The system is scale, position and orientation invariant. Yet position and orientation of two hand gestures are used to issue motion control commands in two modes; manual and auto. In manual mode the position and orientation of a selected hand gesture are used for speed and steering control. The interface works well with either of the hands and can be interchanged anytime without any changes to the system. The hand gestures are organized in a hierarchy taking into account the ergonomics, reliability and the mode of operation. The manual and auto mode operations are demonstrated by presenting the results showing each mode of operation.
Keywords :
computerised control; electric vehicles; ergonomics; gesture recognition; handicapped aids; motion control; position control; velocity control; auto mode operations; back-lit surface; ergonomics; gloved hand; hand gesture images; manual mode operations; motion control commands; reliability; skin color; speed control; steering control; wheelchair control;
Conference_Titel :
Intelligent Control. 2003 IEEE International Symposium on
Conference_Location :
Houston, TX, USA
Print_ISBN :
0-7803-7891-1
DOI :
10.1109/ISIC.2003.1254710