Trinetra- A Vision Therapy Application to Aid People with Low Vision

Authors

  • Pushpa G, Manjunath G S, Kavitha C, Nalini B M, Sumukh M K, Abhiram R P

Keywords:

Vision therapy, low vision, iris tracking, Media Pipe, interactive exercises, progress tracking

Abstract

In a more focused analysis, the recent papers stemming from these studies reveal deeper insights into their respective areas. The study cantered on AI in adaptive education uncovers a growing inclination towards neural networks as a potential solution for identifying learning styles. However, despite this interest, there remains a noticeable void in research efforts directed towards comparing and implementing deep learning techniques, highlighting an area ripe for further exploration. In a more focused analysis, the recent papers stemming from these studies reveal deeper insights into their respective areas. The study centred on AI in adaptive education uncovers a growing inclination towards neural networks as a potential solution for identifying learning styles. However, despite this interest, there remains a noticeable void in research efforts directed towards comparing and implementing deep learning techniques, highlighting an area ripe for further exploration. In a more focused analysis, the recent papers stemming from these studies reveal deeper insights into their respective areas.

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References

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.Pushpa G, Dr. Dattatreya P. Mankame, Soumya Patil, Dr. Basavaraj Patil, “Tele Health Interpretation of COVID-19 Patients using Artificial Intelligence”, Journal of Data Acquisition and Processing, September 2023.

. Dr. Dattatreya P. Mankame , Dr. Basavaraj Patil, Pushpa G, Soumya Patil, “New-Fangled Internet Of Things Architecture For Real-Time Heart Attack Menace Prediction”, Journal of Data Acquisition and Processing, September 2023.

.Chen, L., Zhang, X. Prototype system development and testing for vision rehabilitation. AR Systems and Design Journal. 2022.

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. Thompson, J., Nguyen, K. Review of AR technologies for low vision rehabilitation. Comprehensive AR Technology Review. 2021.

. Thompson, J., Nguyen, K. Review of AR technologies for low vision rehabilitation. Comprehensive AR Technology Review. 2021.

.Ashok Kumar Patil , Adithya Balasubramanyam , Jae Yeong Ryu , Bharatesh Chakravarthi and Young Ho Chai,” An Open-Source Platform for Human Pose Estimation and Tracking Using a Heterogeneous Multi-Sensor System”,mdpi,2021.

. He, Yingchen, et al. ”Improved mobility performance with an artificial vision therapy system using a thermal sensor.”Journal of neural engineering 17.4.(2020).

. Harris, J., and Young, L. Effects of augmented reality on visual rehabilitation outcomes in older adults. Journal of Aging and Vision Rehabilitation. 2020.

. Garcia, M., Liu, H. Feasibility study on AR applications for spatial awareness. Visual Rehabilitation Feasibility Journal. 2020.

. Pushpa G, Rachana B S “Threshold Alarm Algorithm for in-Patient Monitoring System”, International Journal of Engineering Research & Technology IJERT), 2020.

.Ashok Kumar Patil , Adithya Balasubramanyam , Jae Yeong Ryu , Pavan Kumar B N , Bharatesh Chakravarthi and Young Ho Chai ,” Fusion of Multiple Lidars and Inertial Sensors for the Real-Time Pose Tracking of Human Motion”,MDPI,2020.

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Published

19.04.2025

How to Cite

Pushpa G. (2025). Trinetra- A Vision Therapy Application to Aid People with Low Vision. International Journal of Intelligent Systems and Applications in Engineering, 13(1), 416 –. Retrieved from https://www.ijisae.org/index.php/IJISAE/article/view/7776

Issue

Vol. 13 No. 1 (2025)

Section

Research Article

License

Creative Commons License

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