Student Research Symposium Program Portal: Submission #204

serial: '204'
sid: '9052'
uuid: 28a74420-e99a-400e-ae06-d63625a28cb6
uri: /student-research/symposium/research-symposium-program-portal
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completed: '1769784645'
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langcode: en
webform_id: research_portal
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data:
  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.'
  additional_research_mentor: 'Karen Works'
  annual_description: '5th annual Undergraduate Research Symposium, April 17, 2025'
  co_presenters: ''
  first_name: Skyler
  i_will_be_printing_my_poster: '0'
  keywords: 'Computer vision, blink rate, Python'
  last_name: Putnam
  major: 'High School; Intended major: Computer Engineering or Science'
  poster_pdf: ''
  poster_session_number: ''
  poster_thumbnail: ''
  presentation_modality: 'Face to Face Poster session'
  pronouns: He/him
  research_mentor: 'Madisyn Flammia'
  research_mentor_s_college: 'The Collegiate School'
  research_mentor_s_department: Research
  research_mentor_s_email: mjf24@fsu.edu
  student_bio: '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. '
  student_email: sgp25a@fsu.edu
  student_photo: '72884'
  title: 'Developing an app to measure the correlation between blink rate and time of day'
  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'
  work: Exploratory
  year: '2026'