Technology
6 min read
Chinese Researchers Unveil Groundbreaking Eye-Tracking Device for Paralysed Patients
The Whistler Newspaper
January 19, 2026•3 days ago

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Chinese researchers developed a self-powered eye-tracking system, ET-TENG, that uses blinking energy to control devices. This breakthrough technology, powered by a nanogenerator, can detect subtle eye movements with high accuracy and operates in darkness. It offers potential assistance for paralyzed patients and has applications in various fields.
Researchers in China have developed a self-powered eye-tracking system that harnesses energy from blinking to help paralysed individuals control devices like wheelchairs, offering a potential breakthrough for assistive technology.
Self-powered human-computer interaction systems are attracting significant attention for their sustainable, sensitive and stable performance, driven by the rapid advancement of artificial intelligence.
The system, as reported in the journal Cell Reports Physical Science this month, uses a nanogenerator called TENG to capture the minute friction generated between the eyelid and the eyeball during a blink.
This harvested energy powers the sensor, eliminating the need for an external battery.
Dubbed ET-TENG, the device has been created by teams from Qingdao University and the Hong Kong University of Science and Technology, and it can detect subtle eye movements with high precision.
It will identify a minimum eyeball deflection angle of two degrees with 99 per cent accuracy.
The gadget will also function in total darkness, overcoming a limitation of traditional camera-based eye trackers that rely on external light sources.
The technology could allow individuals with conditions like Amyotrophic Lateral Sclerosis (ALS), who retain eye movement, to operate computers or wheelchairs, according to the study.
Beyond medical assistance, the team suggested that the system could have applications in space exploration for hands-free control panels, in smart vehicles for driver fatigue monitoring.
This will help in making virtual reality headsets more lightweight and energy-efficient. Its high sensitivity, simple structure and strong anti-interference capability provide technical support for promoting applications in the field of human-computer interactions, according to the researchers.
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