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Related Experiment Video

Updated: Feb 22, 2026

Using Eye-tracking to Assess the Relative Importance of Visual and Vestibular Input to Subcortical Motion Processing in the Roll Plane

Using Eye-tracking to Assess the Relative Importance of Visual and Vestibular Input to Subcortical Motion Processing in the Roll Plane

Published on: August 22, 2025

Ultrasensitive Mesh-Structured Position-Sensitive Detectors Enabling Eye Tracking for Human-Machine Interaction.

Peiyu Zeng¹, Kaiyang Liu¹, Huiyan Guan¹

¹School of Physics, Key Laboratory of Quantum Materials and Devices of Ministry of Education, Southeast University, Nanjing, China.

Advanced Materials (Deerfield Beach, Fla.)

|February 21, 2026

Summary

This summary is machine-generated.

This study introduces an energy-efficient eye-tracking system using a graphene photoconductive mesh position-sensitive detector (PSD). This novel approach significantly reduces data volume and power consumption for intuitive human-machine interaction.

Keywords:

eye tracking gain graphene human‐machine interaction lateral photovoltaic effect position‐sensitive detector

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Last Updated: Feb 22, 2026

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Area of Science:

Optoelectronics
Human-Computer Interaction
Materials Science

Background:

Video-based eye tracking offers intuitive interaction but suffers from high power consumption.
Current systems require extensive data acquisition and processing of redundant pixels, limiting efficiency.

Purpose of the Study:

To develop an energy-efficient eye-tracking system with high accuracy.
To reduce data volume and power consumption compared to existing video-based systems.

Main Methods:

Utilized a position-sensitive detector (PSD) with a graphene photoconductive mesh.
Employed synergistic lateral photoelectric and interfacial gating effects.
Operated under eye-safe ultra-weak light (10 pW) with four readout signals.

Main Results:

Achieved over three orders of magnitude reduction in data volume compared to video-based systems.
Demonstrated superior accuracy with < 0.1° angular resolution.
Reached a 1 kHz tracking frequency without a detection dead zone.

Conclusions:

The PSD-based eye tracker enables energy-efficient and precise human-machine interaction.
This technology holds significant promise for miniaturized systems and advanced applications like eye-controlled typing.