Indonesian Students Successfully Develop Wheelchairs moved Brain Signals [video]

Tools are driven by brain signals not imaginary. Two students at the University Bina Nusantara (Binus) have developed a wheelchair that is driven brain signals.

Is Jennifer Santoso (21) and Ivan Halim Parmonangan (21), seventh semester student of Informatics who makes a thesis project for the surrounding see many require a wheelchair.

"Many hands broken, deformed entire body, paralyzed from the neck down. We want to create a system to help people," Jennifer said when met at Binus Campus Jalan KH Syahdan, Palmerah, West Jakarta, Friday (22/01/2016) ,

From the observation of persons with disabilities around them, it turns out, many disabilities that brain and mind are still healthy. Thus, Jennifer and Ivan developed a wheelchair with brain control. This study actually continue and expand research of their seniors.

Thus, the main components are wheelchair and a tool called Neuroheadset. Neuroheadset is a tool that can capture the brain's electrical waves and strengthen it in the scale of thousands of times. Neuroheadset is connected to the application software they create in the CPU.

"Our application will process the signals received from Neuroheadset, then filtered to take the alpha and beta waves, which are then transformed by the Fast Fourier Transformation algorithm, which then become input to the engine," explains Jennifer.

Applications are made will then forward the signal being processed into the Arduino Uno microcontroller board, and forwarded to a motor driver that will be used to drive the DC motor, the electric motor works using a DC voltage source.

The workings of this wheelchair wearing 2 data, with electric encephalo- graphi (EEG) brain signals alias for disabilities that can not move his neck and with gyroskop to capture motion sensor, for patients who are still able to move the neck.

The apparition of the wheelchair, intertwined wires on the left yangterhubungkekotakmetalberisimikrokontrolerdanmotordriver, and no batteries housed in the metal box underneath.

Ivan then demonstrate that wheelchair. He sat in a wheelchair, memakaiwirelessneuroheadset with 14 stems in a circular head, danmemangkulaptop. For the first user, the application software must record the user response, the brain signals to move forward, left, right, rotate kekiridankanandarineuroheadset.

Then, to move the wheelchair, Ivan visible focus once. The wheels of the chair move forward, while Ivan just standing by. If you want to stop the wheelchair, simply with a twinkle in the eye, left eye, right or both eyes.

"When asleep or panic, the wheelchair automatically stop," said Jennifer.

Tools and applications that they named Bina Nusantara of Wheelchair (BNW) -Kursi Wheels with this brain control they have developed since last February to October, 2015.

"The old one is that we are looking for ways how to make this app easy to use for users," said Jennifer.

Their work won race 2 in the National Student Exhibition of Information and Communication Technology (Gemastik) 2015 intelligent systems category. The research also deliver their thesis supervisor, Dr. Widodo Budiharto, SSi, MKom entered the top 15 National Outstanding Lecturer. The research was funded by the Research Grand Toray of Japan.

EEG and Neuroheadset Key Technology pengerak Wheelchairs with Brain Signals

  Electric encephalo- graphi (EEG) and Neuroheadset key.

"Problem reading minds, theoretically, our brain that emits a signal, his name EEG or electro encephalo- graph. How does a signal that depends on what we think," said the lecturer of Computer Science University Binus, Dr Widodo Budiharto, SSi, MKom met at college , Jl KH Syahdan, Palmerah, West Jakarta, Friday (01/22/2016).

Widodo was thesis supervisor 2 Binus student who developed the wheelchair driven brain signals, Jennifer Santoso (21) and Ivan Halim Parmonangan (21).

Aka EEG brain signals, according to him in the form of micro electric wave of 1 Volt or less, which emanates from the scalp. The magnitude of the brain signals, depending on the type of skin and hair thickness. To capture this EEG, EEG sensor is needed.

Electric encephalo- graphi (EEG) and Neuroheadset key.

"Problem reading minds, theoretically, our brain that emits a signal, his name EEG or electro encephalo- graph. How does a signal that depends on what we think," said the lecturer of Computer Science University Binus, Dr Widodo Budiharto, SSi, MKom met at college , Jl KH Syahdan, Palmerah, West Jakarta, Friday (01/22/2016).

Widodo was thesis supervisor 2 Binus student who developed the wheelchair driven brain signals, Jennifer Santoso (21) and Ivan Halim Parmonangan (21).

Aka EEG brain signals, according to him in the form of micro electric wave of 1 Volt or less, which emanates from the scalp. The magnitude of the brain signals, depending on the type of skin and hair thickness. To capture this EEG, EEG sensor is needed.

"In its application, we can apply in a variety of applications, such as games, or move the wheelchair forward-backward. The EEG sensor reading our minds," said Widodo.

Well, in the development of wheelchair Bina Nusantara Wheelcair (BNW) - Wheelchairs with control brain, EEG sensors used called "Neuroheadset". Widodo buy this Neuroheadset for research protege, branded Emotiv Epoc made in Australia. The price, approximately 1.5 million.

"This Neuroheadset brain function amplifies the signal of the order of a thousand times," he added.

Sinyak brain 1 micro Volt or less, obviously can not move objects. This signal must be enlarged to up to 100 thousand times, up to about 5 volts. Well already strong signal then becomes the data input in the application software to be classified to drive the motor.

Science and Neuroheadset EEG is actually not new. Widodo said that, since 1929, a scientist has been able to show a picture of a child EEG published scientifically. Likewise Neuroheadset, this tool can also be made alone.

"This tool (Neuroheadset) actually easily made, not expensive and old technology. If you create yourself most depleted Rp 500 thousand," he explained.

However, why he did not create it manually, the challenge is the alias noise signals the brain that 'noisy'. Homemade tools, keberisikannya very large and have not been able to filter signals the brain are important and necessary. Neuroheadset this, he added, there has not been manufactured in Indonesia because of the challenge of reducing difficulties 'noisy' it earlier.

"If this device we make, then wasting time and the result is not optimal," he explained.