International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 8, Issue 2 (March-April 2026) Submit your research before last 3 days of April to publish your research paper in the issue of March-April.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 8 Issue 2
March-April 2026

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

Neuro-Ocular Parkinson’s Disease Detection

Author(s) Ms. AADHIRA SULEIM A R, Ms. ELAKKIYA K, Ms. INDHUJA D, Mr. JESWIN JOE S, Dr. BENISHA R B
Country India
Abstract This study seeks to identify Parkinson's disease (PD) using neuro-ocular methods with spontaneous blink frequency and pupillary light reflex and analyzes the results using a low-cost Raspberry Pi camera and a Python-based computer vision technique. Since PD affects the blink rate and pupillary- reflexes dopaminergic and autonomic systems, diagnostic PD involves decreased frequency of blinking and delayed response of pupil constriction. For this, we built a lightweight portable device functioning in bright, uniform light, using a Raspberry Pi 4 and a Pi camera, which was able to track eye movements. The blink detection algorithm based on the eye aspect ratio and facial landmarks. The estimation of the change in size of the pupil performed using segmentation, ellipse fitting, and OpenCV. PD participants and their healthy counterparts assessed on the parameters: blink frequency, blink duration, constriction reflex latency, and maximum constriction speed. Preliminary results show that the diagnostic features of blinking and response of pupil in PD would open a new avenue for inexpensive and non-invasive PD screening.
Keywords Parkinson’s disease, blink rate, pupillary light reflex, ocular biomarkers, Raspberry Pi, Python, computer vision, OpenCV, MediaPipe, neuro-ocular screening, biomedical signal analysis.
Field Biology > Medical / Physiology
Published In Volume 7, Issue 5, September-October 2025
Published On 2025-10-30
DOI https://doi.org/10.36948/ijfmr.2025.v07i05.59055
View / Download PDF File

Share this



E-ISSN 2582-2160
CrossRef

CrossRef DOI is assigned to each research paper published in our journal.

IJFMR DOI prefix is
10.36948/ijfmr

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 8 Isu 2Cover Page Vol 8 Isu 1Cover Page Vol 7 Isu 6

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About IJFMR
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us +91-9687-828-838 editor@ijfmr.com
Powered by Sky Research Publication and Journals