Abstract

The tracking of eye gesture movements using wearable technologies can undoubtedly improve quality of life for people with mobility and physical impairments by using spintronic sensors based on the tunnel magnetoresistance (TMR) effect in a human-machine interface. Our design involves integrating three TMR sensors on an eyeglass frame for detecting relative movement between the sensor and tiny magnets embedded in an in-house fabricated contact lens. Using TMR sensors with the sensitivity of 11mV/V/Oe and ten <1 mm3 embedded magnets within a lens, an eye gesture system was implemented with a sampling frequency of up to 28 Hz. Three discrete eye movements were successfully classified when a participant looked up, right or left using a threshold-based classifier. Moreover, our proof-of-concept real-time interaction system was tested on 13 participants, who played a simplified Tetris game using their eye movements. Our results show that all participants were successful in completing the game with an average accuracy of 90.8%.

Highlights

  • T HE studies of eye movements and gestures is of interest to clinical ophthalmologists and psycholinguists [1], [2]

  • We proposed a novel eye gesture detector using miniature tunnel magnetoresistance (TMR) sensors with a sensitivity of 11 mV/V/Oe

  • We demonstrated that magnets embedded within the soft contact lens can create sufficiently strong magnetic fields to be detected by nearby sensors

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Summary

Introduction

T HE studies of eye movements and gestures is of interest to clinical ophthalmologists and psycholinguists [1], [2]. Eye gesture recording enables researchers to study potential eye disorders while performing various dynamic tasks. Manuscript received June 14, 2020; revised July 31, 2020 and September 16, 2020; accepted September 21, 2020. Date of publication September 29, 2020; date of current version December 30, 2020.

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