Two students from UET Mardan made a new type of wheelchair. It uses brain signals to move. This new wheelchair helps people who cannot move their bodies.
Mohammad Dawood and Mohammad Faizan Akhtar created this special wheelchair. Their teacher, Dr. Jawad Ali, helped them.
The Mechanism of New Brain-controlled Wheelchair
They used an EEG headset for this. The headset reads brain signals.
The wheelchair moves based on these signals. It can go forward, backward, left, and right. The wheelchair has an EEG headset and runs on a battery. It can carry up to 250 kilograms.
The headset reads brain waves when the user thinks about moving. These signals go to an Arduino microcontroller.
The microcontroller makes the motors move. The wheelchair also has a joystick and Bluetooth for more control.
Mohammad Dawood talked about the problems wheelchair users face. He said their new system can help these people.
He explained how brain signals become electrical signals. These signals control the wheelchair. Different brain waves can be used: alpha, beta, gamma, delta, and theta.
Mohammad Faizan Akhtar said their invention can help many people. He noted that it makes life easier for patients. The wheelchair gives them a simple way to move.
Any person with an active brain can use it. The goal is to give more freedom to wheelchair users.
Prof. Khan Supports UET Mardan’s Revolutionary Wheelchair
UET Mardan Vice-Chancellor Prof. Imran Khan praised the students. He said their project has a lot of potential.
He believes it can become a commercial product with little effort. Prof. Khan promised to support more student projects like this one.
The EEG-based wheelchair is a big step in assistive technology. It uses brain signals to help people move. This invention can change the lives of quadriplegic patients. It gives them new freedom and independence.
The project shows the hard work of UET Mardan students. It also shows their desire to improve lives with technology.
To read our blog on “PPAF and MRDO donates 100 wheel chairs to differently abled individuals,” click here.