International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395 -0056
Volume: 04 Issue: 3 | Mar -2017
p-ISSN: 2395-0072
www.irjet.net
DESIGN & IMPLEMENTATION OF BRAIN CONTROLLED WHEELCHAIR Mehul patel 1, Rishikesh Bhavsar2 1Electronics
2
& Communication Dept., SVBIT, Gujarat, India Electronics & Communication Dept., SVBIT, Gujarat, India
---------------------------------------------------------------------***--------------------------------------------------------------------Abstract— Improving the quality of life for the elderly independently of third party help. Despite these new and disabled people and giving them the proper care at types of control methods, can acquire users intention the right time is one the most important roles that are to control the wheelchair. However, each type of to be performed by us being a responsible member of alternative control has its limitations.Wheelchair the society. users are among the most visible members of the It’s not easy for the disabled and elderly people to disability community; they experience a very high mobile a mechanical wheelchair, which many of them level of activity and functional limitation and also normally use for locomotion or movements. Hence have less of employment opportunities. Elderly people there is a need for designing a wheelchair that is are the group with the highest rates of both manual intelligent and provides easy mobility. In this thesis, an and electric wheelchair use. attempt has been made to propose a brain controlled wheelchair, which uses the captured signals from the brain and processes it to control the wheelchair. Electroencephalography (EEG) technique deploys an electrode cap that is placed on the user’s scalp for the acquisition of the EEG signals which are captured and translated into movement commands by the arduino microcontroller which in turn move the wheelchair. After measuring brain waves it delivers to brain to computer interface unit which analyzed and amplified and classify waves into alpha, beta, gamma, waves then arduino microcontroller controls the movement of wheelchair. Keywords—Microcontroller, Electroencephalogram,
Introduction The electric-powered wheelchair is a wheelchair acting by an electric motor controlled with a handoperated joystick. However, some people suffering from severe motor disabilities cannot use the joystick, such as paralysis and physically disable people and locked-in syndrome. So they have other special devices available (touchpad, head /speech control, eye, EEG, etc). With the objective of responding to numerous mobility problems, various intelligent wheelchair related research have been created in the last years. In this research try not only to give mobility to handicapped people but, more importantly, © 2017, IRJET
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Impact Factor value: 5.181
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Wheelchair users report difficulty in basic life activities, and perceived disability. It’s not easy for the physically challenged and elderly people to move a mechanical or electric wheelchair. In recent times there have been a wide range of technologies that help aid the disabled physically challenged. These control systems are designed to help the physically challenged specifically. These competitive systems are replacing the conventional manual assistance systems. The wheelchair too has developed significantly with a variety of guidance systems alongside like using the joystick and a touch screen, and systems based on voice recognition. These systems however are of use to those with a certain amount of upper body mobility. Those suffering from a greater degree of paralysis may not be able to use these systems since they require accurate control. To help improve the lifestyle of the physically challenged further, this research work aims at developing a wheelchair system that moves in accordance with the signals obtained from the neurons in the brain through the electroencephalograph(EEG) electrode.EEG stands for electroencephalogram, a electrode commonly used to detect electrical activity in the brain. Detecting, recording, and interpreting “brain waves” began in the late 1800s with the discovery and exploration of electrical patterns in the brains and the technology has evolved to enable applications ranging
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