A novel fiber Bragg grating system for eye tracking

Autor: Aditya Murthy, Sumitash Jana, Shweta Pant, Srivani Padma, Varsha Vasudevan, Sharath Umesh, Sundarrajan Asokan
Jazyk: angličtina
Rok vydání: 2018
Předmět:
0301 basic medicine
Centre for Neuroscience
Eye muscular movement detection
Cantilever
genetic structures
Computer science
Tracking (particle physics)
Displacement (vector)
03 medical and health sciences
0302 clinical medicine
Fiber Bragg grating
Centre for Biosystems Science and Engineering
medicine
Eye tracker
Computer vision
Instrumentation Appiled Physics
lcsh:Science (General)
ComputingMethodologies_COMPUTERGRAPHICS
lcsh:R5-920
Eye tracking on the ISS
Multidisciplinary
business.industry
Physics
Eye movement
eye diseases
Electrical Communication Engineering
030104 developmental biology
medicine.anatomical_structure
030220 oncology & carcinogenesis
Eye tracking
Original Article
Eyelid
Artificial intelligence
sense organs
Fiber Bragg grating sensor
lcsh:Medicine (General)
business
lcsh:Q1-390
Zdroj: Journal of Advanced Research
Journal of Advanced Research, Vol 16, Iss, Pp 25-34 (2019)
ISSN: 2090-1224
2090-1232
Popis: Graphical abstract
Highlights • FBGET is novel, non-invasive, and easy to mount eye tracking methodology. • FBGET can be utilized as a point of care device. • FBGs are electrically and chemically inert, hence suitable for biomedical sensing. • FBGET tracks both eyes simultaneously eliminating time synchronization complexity. • FBGET can facilitate diagnosis of ophthalmological/neurological disorders.
Eye movement evaluation is vital for diagnosis of various ophthalmological and neurological disorders. The present study proposes a novel, noninvasive, wearable device to acquire the eye movement based on a Fiber Bragg Grating (FBG) Sensor. The proposed Fiber Bragg Grating Eye Tracker (FBGET) can capture the displacement of the eyeball during its movements in the form of strain variations on a cantilever. The muscular displacement generated by the eyeball over the lower eyelid, by its swiveling action while moving the gaze on a target object, is converted into strain variations on a cantilever. The developed FBGET is investigated for dynamic tracking of the eye-gaze movement for various actions of the eye such as fixations, saccades and main sequence. This approach was validated by recording the eye movement using the developed FBGET as well as conventional camera-based eye tracker methodology simultaneously. The experimental results demonstrate the feasibility and the real-time applicability of the proposed FBGET as an eye tracking device. In conclusion, the present study illustrates a novel methodology involving displacement of lower eyelid for eye tracking application along with the employment of FBG sensors to carry out the same. The proposed FBGET can be utilized in both clinical and hospital environment for diagnostic purposes owing to its advantages of wear-ability and ease of implementation making it a point of care device.
Databáze: OpenAIRE