HEAD GESTURE RECOGNITION FOR HEAD GESTURE RECOGNITION FOR HANDS – FREE CONTROL HANDS – FREE CONTROL OF AN INTELLIGENT WHEEL CHAIR OF AN INTELLIGENT WHEEL CHAIR Presented by : Suganya D (III ECE) Suganthi priya T(III ECE) VIVEKANANDHA COLLEGE OF ENGINEERING FOR WOMEN (Department of ECE)
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HEAD GESTURE RECOGNITION FORHEAD GESTURE RECOGNITION FOR HANDS – FREE CONTROLHANDS – FREE CONTROL
OF AN INTELLIGENT WHEEL CHAIROF AN INTELLIGENT WHEEL CHAIRPresented by :
Suganya D (III ECE)Suganthi priya T(III ECE)
VIVEKANANDHA COLLEGE OF ENGINEERING FOR WOMEN
(Department of ECE)
OBJECTIVE
This paper presents a novel hands-free control system for intelligent wheelchairs (IWs) based on visual recognition of head gestures for elderly and disabled people
who have restricted limb movements
ABSTRACT
Electric-powered wheelchairs (EPWs) have been rapidly deployed over the last 20 years
These EPWs are controlled by users’ hands and are very difficult for elderly and disabled users.
As cheap computers and sensors are embedded into EPWs, then they named as intelligent wheelchair(IWs).
INTRODUCTION
Our IWS is based on novel head gesture-based interface (HGI), namely RoboChair,
Based on the integration of the Adaboost face detection algorithm and the Camshift object tracking algorithm.
Head gesture recognition is conducted by means of real-time face detection and tracking.
SYSTEM HARDWARE STRUCTURE:
Consists of parts as follows. six ultrasonic sensors at a height of 50
cm. DSP TMS320LF2407-based controller. a Logitech 4000 Pro Webcam. a local joystick controller. Intel Pentium-M 1.6G Centrino laptop
Control system of robo chair Control system able to achieve both real
time signal processing and high performance driving control due to the following features viz.,