Self-powered eye-tracking system by harvesting the energy of blinking
Source abstract
Abstract
With the rapid rise of artificial intelligence, self-powered human-computer interaction systems are gaining significant attention due to their sustainability, high sensitivity, and stability. Herein, a self-powered eye-tracking system based on the principle of triboelectric nanogenerators was proposed to capture the energy generated by the friction between the eyelids and the eyes during blinking, and it is applied for eye movement detection. In the biological experiment, the potential generated on the friction layer can still be maintained at −0.62 kV after 600 s. While capturing the eye movement direction, it can detect a minimum eye deflection angle up of to 2°, and the accuracy can be maintained at 99%. This design breaks through the bottleneck of eye-tracking technology, which relies on an external power supply and cannot operate in the dark. Its high sensitivity, simple structure, and strong anti-interference capability provide technical support for promoting applications in the field of human-computer interactions.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Tactile and Sensory Interactions · Gaze Tracking and Assistive Technology
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (23)
Show source-provided references
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