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Eye-gaze information input based on pupillary response to visual stimulus with luminance modulation.
Yumiko Muto1,2, Hideka Miyoshi1, Hirohiko Kaneko1
1Dept. of Information and Communications Engineering, Tokyo institute of Technology, Yokohama, Kanagawa, Japan.
Plos One
|January 10, 2020
Summary
This study introduces a novel eye-gaze interface using pupillometry to identify visual targets. This non-invasive method achieves high accuracy for object identification and keyboard input, benefiting users with limited mobility.
Area of Science:
- Human-Computer Interaction
- Biomedical Engineering
- Neuroscience
Background:
- Traditional eye-tracking methods often require calibration and can be invasive.
- Developing accessible interfaces for individuals with motor impairments remains a challenge.
Purpose of the Study:
- To develop and validate an information-input interface utilizing pupillometry.
- To assess the accuracy and feasibility of gaze-directed input based on pupillary light reflex.
Main Methods:
- Investigated pupil size changes in response to periodic luminance modulation of visual stimuli.
- Developed an algorithm to identify user-targeted visual stimuli via pupillary light reflex.
- Tested interface accuracy with varying luminance modulation frequencies and a 12-response keyboard configuration.
Main Results:
- Achieved 98% accuracy in identifying gaze-targeted objects when modulation frequencies differed by ≥0.12 Hz.
- Demonstrated 85% average accuracy for keyboard input using modulation frequencies from 0.75 to 2.75 Hz.
- The pupillometry-based interface requires no calibration and minimal user training.
Conclusions:
- The proposed pupillometry-based interface offers a low-burden, non-invasive, and highly accurate method for information input.
- This technology holds significant potential for communication interfaces for individuals with severe motor disabilities.

