To read the full version of this content please select one of the options below:

Head gesture recognition for hands‐free control of an intelligent wheelchair

Pei Jia (Department of Computer Science, University of Essex, Colchester, UK)
Huosheng H. Hu (Department of Computer Science, University of Essex, Colchester, UK)
Tao Lu (Institute of Automation, Chinese Academy of Sciences, Beijing, People's Republic of China)
Kui Yuan (Institute of Automation, Chinese Academy of Sciences, Beijing, People's Republic of China)

Industrial Robot

ISSN: 0143-991x

Article publication date: 16 January 2007

10113

Abstract

Purpose

This paper presents a novel hands‐free control system for intelligent wheelchairs (IWs) based on visual recognition of head gestures.

Design/methodology/approach

A robust head gesture‐based interface (HGI), is designed for head gesture recognition of the RoboChair user. The recognised gestures are used to generate motion control commands to the low‐level DSP motion controller so that it can control the motion of the RoboChair according to the user's intention. Adaboost face detection algorithm and Camshift object tracking algorithm are combined in our system to achieve accurate face detection, tracking and gesture recognition in real time. It is intended to be used as a human‐friendly interface for elderly and disabled people to operate our intelligent wheelchair using their head gestures rather than their hands.

Findings

This is an extremely useful system for the users who have restricted limb movements caused by some diseases such as Parkinson's disease and quadriplegics.

Practical implications

In this paper, a novel integrated approach to real‐time face detection, tracking and gesture recognition is proposed, namely HGI.

Originality/value

It is an useful human‐robot interface for IWs.

Keywords

Citation

Jia, P., Hu, H.H., Lu, T. and Yuan, K. (2007), "Head gesture recognition for hands‐free control of an intelligent wheelchair", Industrial Robot, Vol. 34 No. 1, pp. 60-68. https://doi.org/10.1108/01439910710718469

Publisher

:

Emerald Group Publishing Limited

Copyright © 2007, Emerald Group Publishing Limited

Related articles