Sunday, October 11, 2026

Chinese researchers develop device to help paralysed patients

Self-powered human-computer interaction systems are attracting significant attention for their sustainable, sensitive and stable performance.

• January 19, 2026
Paralysed patients
Paralysed patients

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 was developed by teams from Qingdao University and the Hong Kong University of Science and Technology and 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, 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 make virtual reality headsets lighter and more energy-efficient.

Its high sensitivity, simple structure, and strong anti-interference capability provide technical support for promoting its applications in the field of human-computer interaction, according to the researchers. 

(Xinhua/NAN)

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