4.8 Article

Multimodal Smart Eyewear for Longitudinal Eye Movement Tracking

Journal

MATTER
Volume 3, Issue 4, Pages 1275-1293

Publisher

CELL PRESS
DOI: 10.1016/j.matt.2020.07.030

Keywords

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Funding

  1. National Science Foundation [1815347, 1839999, 1763524]
  2. David and Lucile Packard Foundation
  3. Direct For Computer & Info Scie & Enginr
  4. Div Of Information & Intelligent Systems [1815347] Funding Source: National Science Foundation
  5. Direct For Social, Behav & Economic Scie
  6. SBE Off Of Multidisciplinary Activities [1839999] Funding Source: National Science Foundation
  7. Division Of Computer and Network Systems
  8. Direct For Computer & Info Scie & Enginr [1763524] Funding Source: National Science Foundation

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Contextual measurements of multiple physiological signals using familiar garments or accessories can provide insights into health and behavior. Recording these signals on or near the face is challenging because most subjects are sensitive to implements placed on the face or head. Here, fabric electrodes and garment design strategies are used synergistically to afford an unobtrusive platform, Chesma, for longitudinal acquisition of physiological signals from a user's face. Chesma contains two novel fabric-based electrodes: a hydrogel electrode (tAgTrode) that retains its ionic character after multiple uses/washes, does not cause skin irritation, and can be continuously operated for upward of 8 h without losing signal integrity. Second is an ion-conductive fabric pressure sensor (Press-ION) that captures pulse waveforms. When sewn onto a lightweight eye mask, these electrodes simultaneously gather complementary electro-oculography and cardiac data, which can enable sleep quality and psychological studies and improve the accuracy and usability of virtual reality headsets.

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