Publications

Enabling Smartphone Pupillometry using a Facial Identification Camera in At-Home Environments

Best Paper Honorable Mention at CHI 2022 Conference on Human Factors in Computing Systems

We introduce a novel smartphone-based pupillometer to allow for future development in clinical research surrounding at-home pupil measurements.

Colin Barry, Jessica de Souza, Yinan Xuan, Jason Holden, Eric Granholm, and Edward Jay Wang. 2022. At-Home Pupillometry using Smartphone Facial Identification Cameras. In CHI Conference on Human Factors in Computing Systems (CHI ‘22). Association for Computing Machinery, New York, NY, USA, Article 235, 1–12. https://doi.org/10.1145/3491102.3502493

Press Release: https://jacobsschool.ucsd.edu/news/release/3444

Radio Interview: https://omny.fm/shows/ched-mid-morning/new-eye-scanning-app-can-screen-people-for-alzheim

Press Release: https://globalnews.ca/news/8801277/new-eye-scanning-app-alzheimers-adhd/

Tenets Towards Smartphone-based Medical Tricorders

Published in MobiSys 2021: DigiBiom, Workshop on the Future of Digital Biomarkers, 2021

This paper presents a vision for smartphone based medical tricorders and draws out the challenges to realizing successful smartphone-based medical sensing solutions.

Colin Barry, Tauhidur Rahman, and Edward J. Wang. 2021. “Tenets towards smartphone-based medical tricorders. In Proceedings of the 2021 Workshop on Future of Digital Biomarkers (DigiBiom 2021). Association for Computing Machinery, New York, NY, USA, 12–18. DOI:https://doi.org/10.1145/3469266.3469880 https://dl.acm.org/doi/proceedings/10.1145/3469266