Elderly and disabled people can experience considerable difficulties when driving an electric wheelchair, especially if they do not possess the fine steering capacities that are required to perform ‘common’ manoeuvres, like avoiding obstacles, docking at tables, driving through doors, etc. This paper describes a possible approach to equip the wheelchair with an intelligent controller that perfo...

In this paper, robust MPC (Model Predictive Control) with adaptive DA converter method for the wheelchair using EEG (Electroencephalogram) based BMI (Brain Machine Interface) is discussed. The method is developed to apply to the obstacle avoidance system of wheelchair. This paper is the 1st stage for the development of the BMI based wheelchair in practical use. The robust MPC method is realized...

An automated system is developed to control the rotation of the wheel chair based on touch screen and head movement by the physically challenged person. Independent movement can be done by them with the help of an accelerometer device which is fitted on person’s head and a touch screen is placed with the wheelchair which can be operated by the person [1]. Based on the touch and head movements, ...

Many people with disabilities do not have the necessary ability to control a joystick on an electric wheelchair. Moreover, they have difficulty to avoid obstacles. The aim of this work is to implement a multi-modal system to control the movement of an Electric wheelchair using small vocabulary word recognition system and a set of sensors to detect and avoid obstacles. In this work we adopted th...

In today’s world, physically handicapped person & elder peoples are depending on others peoples. But today’s world becomes fast, everyone is very busy & there are few peoples to take care of these peoples properly. They find the automated wheelchairs for an easy transportation for these physical disable persons. The proposed work is to design & develop a hand gesture based wheelchair using Gest...

This paper describes an eye-control method, based on electrooculography (EOG), for guiding and controlling a wheelchair for disabled people; the control is actually effected by eye movements within the socket. An eye model based on an electrooculographic signal is proposed and its validity is studied. Different techniques and guidance strategies are then shown with comments on the advantages an...

BACKGROUND The rear-wheel camber, defined as the inclination of the rear wheels, is usually used in wheelchair sports, but it is becoming increasingly employed in daily propulsion. Although the rear-wheel camber can increase stability, it alters physiological performance during propulsion. The purpose of the study is to investigate the effects of rear-wheel cambers on temporal-spatial parameter...

---------------------------------------------------------------------***--------------------------------------------------------------------Abstract The objective of paper is to design a low cost prototype of a self driven, power assisted smart wheelchair for the disabled belonging to poor community. The wheelchair is equipped with all the necessary electronics to ensure safety and ease of oper...

This paper represented Autoregressive Neural Network (ARNN) and meant threshold methods for recognizing eye movements for control of an electrical wheelchair using EEG technology. The eye movements such as eyes open, eyes blinks, glancing left and glancing right related to a few areas of human brain were investigated. A Hamming low pass filter was applied to remove noise and artifacts of the ey...

This work presents an evaluation of the impact of physical exercise of the upper limbs in patients with muscular atrophy in the lower limbs by analysis of specific biomarkers.It is a cross-sectional study. Patients were recruited using convenience sampling: control group (C: n = 12) and two groups of wheelchair users: non-athletes (NAth: n = 12) and athletes (Ath: n = 13, professional basketbal...