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Updated: Jul 14, 2026

How to Build a Dichoptic Presentation System That Includes an Eye Tracker
Published on: September 6, 2017
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.
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.
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.
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