Digital Quantification and Biofeedback Platform for Eye Deviation Assessment | New Jersey Institute of Technology

Digital Quantification and Biofeedback Platform for Eye Deviation Assessment

Digital Quantification and Biofeedback Platform for Eye Deviation Assessment (System and Method for Quantification and Feedback of Eye Deviations, Tech ID: 22‑005)

Technology Overview: This technology provides a digital system for quantitative measurement and feedback of eye deviations, enabling precise assessment of ocular alignment and movement. Using computational analysis and visual feedback, the platform delivers objective metrics that support clinical decision‑making and therapy monitoring. The system is designed for repeatable, user‑friendly operation, making it suitable for clinical, rehabilitation, and research environments.

Industry Pain Point: Current methods for assessing eye deviations rely heavily on subjective evaluation and clinician expertise, leading to variability and limited longitudinal tracking.

NJIT Solution: This platform enables objective, repeatable quantification with real‑time feedback, improving diagnostic accuracy and treatment monitoring.

Key Features & Advantages

  • Quantitative, objective eye deviation measurement
  • Real‑time visual feedback
  • Reduced clinician subjectivity
  • Suitable for clinical and rehabilitative use

Development Stage: TRL 4–5 – Prototype validation completed.

Target Markets

  • Ophthalmology and optometry
  • Vision rehabilitation
  • Digital health diagnostics

Market Opportunity

  • Global ophthalmic devices market (2026): ~$60B
  • CAGR: ~5–6%
  • Projected market size (2035): ~$95–100B

Commercial & IP Details

Inventors: Tara Lynn Alvarez, John Vito D’Antonio‑Bertagnolli, Christopher Morris, Mitchell Scheiman, Chang Yaramothu

Patent Information:
Category(s):
Medical Devices, Imaging & Digital Health
For Information, Contact:
Ikechukwu Nwabufo
IP Licensing & Marketing Manager
in49@njit.edu
Inventors:
Christopher Morris
Tara Lynn Alvarez
Mitchell Scheiman
Chang Yaramothu
John Vito D'Antonio-Bertagnolli
Keywords:
Digital Health
Ophthalmology
Patent Pending
Real-time
Rehabilitation
Vision Rehabilitation