New Eye Scanning Smartphone App
Radio Interview, CHED Mid-Morning with Shaye Ganam, Virtual
https://omny.fm/shows/ched-mid-morning/new-eye-scanning-app-can-screen-people-for-alzheim
Talks and Media
At-home Pupillometry Using Smartphone Facial Identification Cameras
Research Presentation, ACM CHI Conference on Human Factors in Computing Systems, New Orleans, LA
With recent developments in medical and psychiatric research surrounding pupillary response, cheap and accessible pupillometers could enable medical benefits from early neurological disease detection to measurements of cognitive load. In this paper, we introduce a novel smartphone-based pupillometer to allow for future development in clinical research surrounding at-home pupil measurements. Our solution utilizes a NIR front-facing camera for facial recognition paired with the RGB selfie camera to perform tracking of absolute pupil dilation with sub-millimeter accuracy. In comparison to a gold standard pupillometer during a pupillary light reflex test, the smartphone-based system achieves a median MAE of 0.27mm for absolute pupil dilation tracking and a median error of 3.52% for pupil dilation change tracking. Additionally, we remotely deployed the system to older adults as part of a usability study that demonstrates promise for future smartphone deployments to remotely collect data in older, inexperienced adult users operating the system themselves.
Tenets Towards Smartphone-based Medical Tricorders
Workshop Paper Presentation, DigiBiom Workshop at MobiSys 2021, Virtual
The challenges and motifs inherent to realizing the vision of smartphone-based medical sensing solutions.
Smartphone-based Alzheimer’s Disease Risk Screening
Research Presentation, Design Lab Showcase, Virtual
Presentation of ongoing research to develop an effective digital biomarker for screening of Alzheimer’s Disease using smartphones.