C04401: Method of Three-dimensional Video-oculographyValue Proposition: The mathematical computation used to determine the rotation matrix is conceptually simpler and computationally more efficient than methods previously described, allowing generation of binocular three-dimensional eye position in real-time during image acquisition. When tested in vitro, the method had a greater than 94% accuracy for eye positions within 20* of center. JHU researchers compared the 3D Video-oculography (VOG) method to the scleral search coil technique by measuring three-dimensional eye position in a chinchilla. The difference between the results produced by the two methods was less than 5%.
• This eye movement system is a lower cost and easily portable alternative to the systems used in most laboratories, which are prohibitively expensive and require substantial technical expertise to use and maintain.
• Markers affixed to eye are thinner and less invasive than the implanted scleral coils used in current techniques to reduce restriction of eye movement due to scarring, inflammation or unwanted tension.
• One embodiment of the invention employs the same technique with faster cameras at higher resolution to permit improved performance.
Technical Details:
Human eye movement measurement systems are commonly used in clinical evaluation of patients with disorders of the inner ear and nervous system and in scientific research regarding these disorders. JHU researchers describe a novel, inexpensive, method and apparatus for real time measurement of binocular three-dimensional rotational eye position and velocity. The method employs consumer grade digital video cameras to track an array of three fluorescent non-collinear markers affixed to each eye. A software element uses the positions of these markers before and after an eye rotation to construct a rotation matrix describing the eye rotation.
Looking for Partners:
This device can be used as a clinical diagnostic device to measure eye rotation for evaluation of balance and eye movement (oculomotor) disorders, which often present clinically as dizziness. Eye rotation measurements with 3D Video-oculography can potentially be used for input to various computer systems for data entry, command and control, communication and/or enhancement of virtual reality based displays.
