Encoding of blink information via wireless contact lens for eye-machine interaction

  • Haiqing Liu
  • , Weijia Liu
  • , Zhijian Du
  • , Lifeng Wu
  • , Minyan Chen
  • , Zhiyi Gao*
  • , Kai Jiang
  • , La Li*
  • , Zhiyong Fan*
  • , Guozhen Shen*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Blinks controlled by ocular muscles and nerves can manifest as either involuntary physiological behaviors or volitional control actions, with the former serving spontaneous protective functions while the latter constitutes a biologically meaningful communicative signal. The encoding of blink information provides a novel eye-machine interaction (EMI) prototype within the realm of human-machine interaction, expanding human consciousness and capability boundaries. It facilitates motor and language rehabilitation, silent communication and even voluntary command execution. However, existing EMI devices face challenges related to wireless functionalities, ocular comfort and multi-route encoding/decoding orders. Here, we propose a wireless eye-wearable lens to encode conscious blink information via introduction of an RLC oscillating loop in the soft contact lens. The developed EMI contact lens incorporates a mechanosensitive capacitor, an inductive coil and the inherent loop resistance, generating characteristic resonance frequency for front-end capacitance signal transition or back-end control signal extraction. The EMI device delivers a sensitivity of 0.153 MHz/mmHg in the wide range of 0-70 mmHg for a normal intraocular pressure monitor and realizes conscious blink-based control command coding. A trial with participants having the EMI contact lens inserted demonstrates its wearability and biocompatibility. Finally, the five-route blink-based control command decoding mechanism is constructed via the EMI lens, linking blink counts to a drone's flight trajectory. The EMI contact lens offers an innovative prototype that transcends the capabilities of traditional brain-computer interfaces.

Original languageEnglish
Article numbernwaf338
JournalNational Science Review
Volume12
Issue number10
DOIs
Publication statusPublished - 1 Oct 2025
Externally publishedYes

Keywords

  • TiCTMXene
  • contact lens
  • eye-machine interaction
  • human-machine interface
  • wearable electronics

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