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    Soft, wireless periocular wearable electronics for real-time detection of eye vergence in a virtual reality toward mobile eye therapies

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    LeeY_2020.pdf (4.868Mb)
    Date
    2020-03-13
    Author
    Mishra, Saswat
    Kim, Yunsoung
    Intarasirisawat, Jittrapol
    Kwon, Young-Tae
    Lee, Yongkuk
    Mahmood, Musa
    Lim, Hyo-ryoung
    Herbert, Robert
    Yu, Ki-jun
    Ang, Chee Siang
    Yeo, Woon-Hong
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    Citation
    Mishra, Saswat; Kim, Yunsoung; Intarasirisawat, Jittrapol; Kwon, Young-Tae; Lee, Yongkuk; Mahmood, Musa; Lim, Hyo-ryoung; Herbert, Robert; Yu, Ki-jun; Ang, Chee Siang; Yeo, Woon-Hong. 2020. Soft, wireless periocular wearable electronics for real-time detection of eye vergence in a virtual reality toward mobile eye therapies. Science Advances, vol. 6:no. 11:art. no. eaay1729
    Abstract
    Recent advancements in electronic packaging and image processing techniques have opened the possibility for optics-based portable eye tracking approaches, but technical and safety hurdles limit safe implementation toward wearable applications. Here, we introduce a fully wearable, wireless soft electronic system that offers a portable, highly sensitive tracking of eye movements (vergence) via the combination of skin-conformal sensors and a virtual reality system. Advancement of material processing and printing technologies based on aerosol jet printing enables reliable manufacturing of skin-like sensors, while the flexible hybrid circuit based on elastomer and chip integration allows comfortable integration with a user's head. Analytical and computational study of a data classification algorithm provides a highly accurate tool for real-time detection and classification of ocular motions. In vivo demonstration with 14 human subjects captures the potential of the wearable electronics as a portable therapy system, whose minimized form factor facilitates seamless interplay with traditional wearable hardware.
    Description
    © 2020 The Authors. This is an open-access article distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC).
    URI
    https://doi.org/10.1126/sciadv.aay1729
    https://soar.wichita.edu/handle/10057/17385
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