This paper presents a new method to control and guide mobile robots. In this case, to send different commands we have used electrooculography (EOG) techniques, so that, control is made by means of the ocular position (eye displacement into its orbit). A neural network is used to identify the inverse eye model, therefore the saccadic eye movements can be detected and know where user is looking. ...

The objective of this study is to assess the feasibility of controlling an asynchronous and non-invasive brain-actuated wheelchair by human EEG. Three subjects were asked to mentally drive the wheelchair to 3 target locations using 3 mental commands. These mental commands were respectively associated with the three wheelchair steering behaviors: turn left, turn right, and move forward. The subj...

This study focused on whether wheelchair users showed enhanced ability to estimate the space required for locomotion with familiar and unfamiliar wheelchairs. Tetraplegic participants, who lacked somatosensory input from the upper limbs and were unable to obtain information about the dimensions of a wheelchair from their hands, and able-bodied control participants made judgments of whether a do...

Controlling a robotic device by using human brain signals is an interesting and challenging task. The device may be complicated to control and the nonstationary nature of the brain signals provides for a rather unstable input. With the use of intelligent processing algorithms adapted to the task at hand, however, the performance can be increased. This paper introduces a shared control system th...

The widespread use of power wheelchairs has greatly increased the requirements for accessibility of buildings and other architectural structures to handicapped persons. In addition, recent advances in microcomputer technology have made possible increasingly sophisticated power wheelchair interfaces, such as halo, puff and sip, and muscle control mechanisms, which can provide mobility for an eve...

This paper describes the goals and research directions of the University of Texas Artiicial Intelligence Lab's Intelligent Wheelchair Project (IWP). The IWP is a work in progress. The authors are part of a collab-orative eeort to bring expertise from knowledge representation , control, planning, and machine vision to bear on this diicult and interesting problem domain. Our strategy uses knowled...

Objectives: Wheelchairs are the prime mobility aid of persons with spinal cord injuries. Manual wheelchair propulsion puts a lot of demand on the cardiopulmonary as well as the skeletal system. The main purpose of the study was to compare the effects of both arm ergometry training and progressive resistance exercise training of upper limbs on resting heart rate and distance covered during wheel...

The user interface of existing autonomous wheelchairs concentrates on direct control of the wheelchair by the user using mechanical devices or various hand, head or face gestures. However, it is important to monitor the user to ensure safety and comfort of the user, who operates the autonomous wheelchair. In addition, such monitoring of a user greatly improves usablity of an autonomous wheelcha...