The idea for the above technology comes from the fact that many drivers often face fatigue, stress and lack of alertness during long trips or at night, leading to reduced concentration, slow reflexes and increased risk of accident.
A group of students including Tran Van Luc, Dong Thi Diem Quynh, Pham Ngoc Minh, Nguyen Tuan Dat, Nguyen Binh An ( Hanoi University of Science and Technology) has started researching a system to monitor and maintain driver alertness using brainwave technology (Awake Drive).
In the early stages, the research team tested it themselves with members because the data measurement process was time-consuming. Later, when the project expanded, the members mobilized students from clubs and labs to come and measure together.
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The team of authors of the system monitors and maintains driver alertness using brainwave technology. |
According to Tran Van Luc - a student majoring in Computer Science and Head of the research team, the brain wave measurement phase takes a lot of time. Sometimes, the tester has to sit in one place without moving for many hours...
"Each member not only mobilizes people to measure brain waves, but also sits every day to measure their own brain waves. Although sometimes it is difficult, every time we see a new signal, the whole group becomes more excited and motivated," said Nguyen Tan Dat, a student majoring in Information Technology from Vietnam and Japan, a member of the group.
The system monitors and maintains driver alertness using brainwave technology, designed with a brainwave reading mechanism and isochronic rhythm (binaural and monophonic beats), which will directly interact with the driver's brainwaves, helping to stimulate and enhance the driver's brain activity.
The application helps drivers maintain alertness, enhance reaction ability while driving, ensure safety, and minimize traffic accidents.
According to Tran Van Luc, the highlight of this system is the use of brain wave technology (EEG) to directly measure mental state, allowing early and accurate detection of drowsiness or mental fatigue that camera-based technologies cannot detect (for example, "white sleep" when the eyes are still open).
In particular, it overcomes the limitations of camera-based technology when environmental factors such as light, humidity or operating conditions can reduce the accuracy of the camera.
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Mr. Tran Van Luc (left) introduces the system. |
"Currently, we have measured about 50 people for data processing. The group is still continuing to measure to improve the system. In addition, the group is also collaborating with a number of research labs to compare with internationally certified measuring equipment, tested with a simulated cockpit environment... Currently, the group's drowsiness recognition results are reaching 91% and predict signs of drowsiness 5 minutes earlier than the camera," Luc said.
Assessing the considerations of the project, Dr. Trinh Van Chien - Head of the Laboratory for Research on Computer Networks and New Generation Communication Technology, School of Information and Communication Technology, Hanoi University of Science and Technology, said that Awake Drive is a promising technological dream from young students with a passion for research.
"Remember, this project was developed by a team of only first- and second-year students who were still confused. Up to now, they have gradually turned the idea into reality," said Dr. Chien.
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Awake Drive is the project that won First Prize at the 7th National Student Startup Festival. |
According to Dr. Chien, unlike current solutions on the market, which mainly rely on cameras to detect drowsiness when there is a clear expression on the face, Awake Drive detects early signs of fatigue right from brain activity.
With the advantage of using brain wave signals and integrating machine learning, the device has the ability to adapt and adjust to each driver's unique brain state, providing a highly personalized experience and superior accuracy.
"This is not only a technological step forward, but also a practical contribution towards smart and safe transportation, with great potential in reducing traffic accidents caused by drowsiness," said Dr. Chien.
Source: https://tienphong.vn/sinh-vien-sang-che-thiet-bi-chong-ngu-gat-cho-lai-xe-bang-cong-nghe-song-nao-post1736575.tpo
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