Ultrasensitive Mesh‐Structured Position‐Sensitive Detectors Enabling Eye Tracking for Human‐Machine Interaction
Eye tracking provides highly efficient, intuitive, and seamless human-machine interaction by measuring eye movements and revealing user attention and intention. Currently, video-based eye tracking systems, while achieving sub-degree accuracy, suffer from high power consumption due to data acquisition and processing of redundant pixels. Here, we present an energy-efficient eye-tracking system employing a position-sensitive detector (PSD) with a graphene photoconductive mesh, which operates with only four readout signals, reducing data volume by over three orders of magnitude compared to video-based systems, while achieving superior accuracy. With the synergistic effects of lateral photoelectric and interfacial gating, the mesh-structured PSD operates under eye-safe ultra-weak light (as low as 10 pW) without a detection dead zone. Leveraging the real-time, precise tracking capability of the PSD, the eye-tracking system determines gaze orientation by tracking the reflected trajectories of light beams from the cornea, achieving a 1 kHz tracking frequency and < 0.1° angular accuracy. Human-machine interaction applications such as eye-controlled typing and a Gluttonous Snake game are demonstrated using the PSD-enabled eye tracker. The PSD-based eye tracking holds significant promise for the application of human-machine interaction in miniaturized systems.
Authors
- Huiyan Guan
- Kaiyang Liu (ORCID: https://orcid.org/0000-0002-1114-8030)
- Wentao Liu
- Z. NI
- Wenhui Wang
- Dingli Guo
- Junpeng Lu
- Peiyu Zeng
Institutions
- Ministry of Education (BD)
- Purple Mountain Laboratories (CN)
- Southeast University (CN)
Publication Details
- Journal
- Advanced Materials
- Published
- 2026-02-21
- DOI
- https://doi.org/10.1002/adma.202521363
- Primary Topic
- Gaze Tracking and Assistive Technology
- Type
- article
- Field-Weighted Citation Impact
- 0.00