31-03-2015, 08:20 PM
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circuit diagram for wheelchair motion control using eye blink sensor
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17-03-2017, 01:54 PM
It is estimated that disabled and elderly people who need a wheelchair should be over 100 million worldwide. Many of these disabled people can not use traditional wheelchairs as users may have restricted limb movements. Many alternative control methods have been developed. Although eye tracking control offers a more natural way to guide the wheelchair, it is omitted because users normally can not look around during movement. The goal of our project, Wheel Chair Motion Control Using Eye Gaze and Blinks is to develop a new method that allows the user to look freely while the wheelchair automatically navigates to the desired goal point.
Traditional electric wheelchairs are normally controlled by users through joysticks, which can not meet the needs of elderly and disabled users who have physical disabilities caused by some diseases such as Parkinson's disease and quadriplegic. Recently, many alternative control methods such as voice recognition and guidance, vision based head gesture control, eye tracking control, and face figure control have been suggested. Most of these controls provide a more natural mode of interaction between a human being and a wheelchair, but also require the user to concentrate during movement due to safety reasons. It can annoy the user. It can also lead to false triggers by the involuntary face or eye movements made by the user.
The main objective of this project is to provide a hands-free control system that uses the eyes look and blinks to control an electric wheelchair. From the angles of the gaze, the controller calculates the direction of the target point and the distance. When the target point is calculated, the wheelchair automatically navigates to the destination. An encoder is used to know the distance traveled. The road may not always be clear. If the route is not free of objects, use the Point error algorithm to navigate to the destination. A range sensor output is used to determine the distance to the nearest obstacle in any direction. Therefore, the user can look around the environment freely during the navigation process in this automatic mode.
Electric wheelchairs play an important role in rehabilitation activities. Many people with disabilities use electric wheelchairs to navigate in their residential, institutional or official area, in order to communicate with their society more conveniently. Although different control interfaces and the use of microprocessors make it easier to navigate a wheelchair, people with severe and multiple disabilities may find it very difficult to steer an electric wheelchair in their favorite directions and with optimal quality. The purpose of smart wheelchairs is to make wheelchairs controllable and navigated with minimal interaction with users, in order to improve the quality of service for the disabled. The methods used to command in these intelligent wheelchairs are head or chin control, eye look, tongue pad, head, hand and foot switch control. In addition to the easy transfer of commands to the system, users must adapt the quality of movement according to their physical capabilities.
The goal of Human Computer Interface (HCI) is to provide humans with a new communication channel that allows humans to translate states through a computer into specific application actions and here wheelchair control. A study of the group of people with severe disabilities shows that many of them maintain intact their ability to control the oculomotor system, so eye movements could be used to develop new man-machine communication systems. In addition, this type of interface would not be limited to severely disabled people, but could extend to the whole group of people with ability to control their eye movements.
Current technologies in this field make use of the direction of the eye for the movement of the wheelchair at that specific time. Therefore, movement to a distant point to which direct path is not available will require the user to focus during movement. The user can not look around the environment while on the move.
![[Image: a-project-on-wheelchair-motion-control-u...1406079198]](https://image.slidesharecdn.com/seminar-140723013255-phpapp01/95/a-project-on-wheelchair-motion-control-using-eye-gaze-and-blinks-15-638.jpg?cb=1406079198)
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