Student Research Symposium Program Portal: Submission #204

Submission information
Submission Number: 204
Submission ID: 9052
Submission UUID: 28a74420-e99a-400e-ae06-d63625a28cb6

Created: Fri, 01/30/2026 - 09:26 AM
Completed: Fri, 01/30/2026 - 09:50 AM
Changed: Fri, 01/30/2026 - 09:50 AM

Remote IP address: 146.201.10.32
Submitted by: Anonymous
Language: English

Is draft: No
Primary Student Contact First Name Skyler
Primary Student Contact Last Name Putnam
Pronouns He/him
Primary Student Contact FSU Student Email sgp25a@fsu.edu
Photo of all individuals presenting this work IMG_2321.jpg
Major(s) of all individuals presenting this work High School; Intended major: Computer Engineering or Science
Bio of all individuals presenting this work My name is Skyler, and I was born in Japan at the Misawa Air Force Base. I moved to Florida during 2024, where I’ve since been at Panama City. I am a high schooler who is currently dual enrolled through The Collegiate School, and I like doing anything related to staying indoors (watching movies, playing video/board games). My hobbies include programming and robotics. In the future I wish to do something in the field of computer science or become a robotics engineer.
Poster Title Developing an app to measure the correlation between blink rate and time of day
Abstract Many people around the world use computers every day for multiple purposes. In turn, the use of computers can affect the body in several ways. For example, the eyes can become dry much easier while staring at a computer screen. Blinking is crucial for the eye to achieve homeostasis, which involves keeping the eye moist. Research by Ousler et al. (2014) indicates that people with dry eyes spend more time with their eyes closed in a minute than those that don’t have dry eyes to achieve homeostasis. This research is aimed specifically at the blinking of the eye, and sees if there are any correlations between blinking behavior (length and frequency) while using a computer and the time of the day which it is used in. Blinking is essential to eye health and would be crucial to understanding any patterns which may affect them. However, collecting blink rate data is impossible to track without technology. To solve this, I will be creating a Python app with machine learning that will measure and track blink rates. In this pilot study the trained app will record the blink rate in two different day time segments, namely day and nighttime (day would be time before noon, night would be between 6-10pm). The goal of this research is to develop an app that can notify a user when their blink rate is outside normal bounds so that the user can make educated choices and reduce the possibility of eye strain.
Research Mentor Name Madisyn Flammia
Research Mentor's College (or High School) The Collegiate School
Research Mentor's Department (or Subject) Research
Research Mentor's Email mjf24@fsu.edu
Additional Research Mentor(s) Karen Works
Co-presenter(s)
Keywords Computer vision, blink rate, Python
Poster Session/Number
Work Exploratory (the research question has been identified and design of approach is outlined)
Presentation Modality Face to Face Poster session
Poster PDF
Poster Thumbnail
I will be printing my poster No
Year 2026
Annual description 5th annual Undergraduate Research Symposium, April 17, 2025
Update URL https://pc.fsu.edu/student-research/symposium/research-symposium-program-portal?element_parents=elements/student_photo&ajax_form=1&_wrapper_format=drupal_ajax&token=X2vuov0ROLEpPqs9u90gutaSTvOJMFMekrj7N8eeG64