In this paper, a novel technique based on
ElectroEncephaloGraphie (EEG) and head movement is
proposed. It is intended to be used as the human-wheelchair
interface for controlling our IW.
The paper is structured as follows: section 2 describes
deferent techniques to control an electric wheelchair. In
section 3, we detail the methodology that will be followed to
control our IW.
II. STATE OF ART
Hands-free control is an important concept in designing
human machine interfaces for people with disabilities. It can
replace normal hand movements. There are many forms of
human body movements that can be deployed for building
novel Human Machine Interface (HMIs), such as facial
expression, eye movement, voice, body and limb movements
etc.
Recently, many alternative control methods have been
developed, for example, by equipping the wheelchair with an
intelligent controller [2], the wheelchair control is shared by
the user and the controller. The user makes the overall
planning, indicating to the wheelchair where he wants to go;
the wheelchair avoids dangerous obstacles and performs path
planning. Also voice recognition and guidance [3]-[5],
gesture control [6]-[10], eye tracking control [11]-[15] and
EEG signal based control [16]-[19] were used to control an
EPW.
In this section we will describe some techniques used to
control an electric wheelchair.
A. EYE TRACKING CONTROL
Eye tracking is a technique whereby an individual's eye
movements are measured so that the researcher knows both
where a person is looking at any given time and the sequence
in which their eyes are shifting from one location to another
using a camera to acquire user images and analyze user
intent.
In [11], the authors use horizontal gaze direction and
blinking. Gaze direction is derived from the triangle