A novel fiber Bragg grating system for eye tracking
Autor: | Aditya Murthy, Sumitash Jana, Shweta Pant, Srivani Padma, Varsha Vasudevan, Sharath Umesh, Sundarrajan Asokan |
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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 |
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