TY - GEN
T1 - Customizable Head-mounted Device for Detection of Eye Disorders using Virtual Reality
AU - Gururaj, Y. Pawankumar
AU - Karre, Sai Anirudh
AU - Mittal, Raghav
AU - Reddy, Y. Raghu
AU - Azeemuddin, Syed
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Eye disorders like myopia, hypermetropia, and color blindness affect millions of people around the world. Early detection can help the affected persons take preventive measures against further degradation. However, early detection requires regular testing and visits to trained healthcare professionals to judge the level of disorder. The customization of the test requirements can simplify the method of diagnosis. This paper presents an approach towards developing a virtual reality based low-cost head-mounted device (HMD). The standalone HMD can detect eye disorders like visual acuity, astigmatism, color vision deficiency, and age-related macular degeneration, limiting the involvement of healthcare professionals. We did a user study to test the accuracy of our prototype against various optical test scenarios. The study revealed that the prototype achieved an overall accuracy of 93%. We further aim to deploy the device in economically vulnerable communities with limited access to healthcare infrastructure.
AB - Eye disorders like myopia, hypermetropia, and color blindness affect millions of people around the world. Early detection can help the affected persons take preventive measures against further degradation. However, early detection requires regular testing and visits to trained healthcare professionals to judge the level of disorder. The customization of the test requirements can simplify the method of diagnosis. This paper presents an approach towards developing a virtual reality based low-cost head-mounted device (HMD). The standalone HMD can detect eye disorders like visual acuity, astigmatism, color vision deficiency, and age-related macular degeneration, limiting the involvement of healthcare professionals. We did a user study to test the accuracy of our prototype against various optical test scenarios. The study revealed that the prototype achieved an overall accuracy of 93%. We further aim to deploy the device in economically vulnerable communities with limited access to healthcare infrastructure.
UR - http://www.scopus.com/inward/record.url?scp=85139216552&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85139216552&partnerID=8YFLogxK
U2 - 10.1109/VLSID2022.2022.00022
DO - 10.1109/VLSID2022.2022.00022
M3 - Conference contribution
AN - SCOPUS:85139216552
T3 - Proceedings - 2022 35th International Conference on VLSI Design, VLSID 2022 - held concurrently with 2022 21st International Conference on Embedded Systems, ES 2022
SP - 50
EP - 55
BT - Proceedings - 2022 35th International Conference on VLSI Design, VLSID 2022 - held concurrently with 2022 21st International Conference on Embedded Systems, ES 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 35th International Conference on VLSI Design, VLSID 2022 - held concurrently with 2022 21st International Conference on Embedded Systems, ES 2022
Y2 - 26 February 2022 through 2 March 2022
ER -