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Studies have shown that children can be exposed to smart devices at a very early age. This has important implications on research in children-computer interaction, children online safety and early education. Many systems have been built…

Human-Computer Interaction · Computer Science 2018-08-07 Toan Nguyen , Aditi Roy , Nasir Memon

Refractive error is the most common eye disorder and is the key cause behind correctable visual impairment, responsible for nearly 80% of the visual impairment in the US. Refractive error can be diagnosed using multiple methods, including…

Human-Computer Interaction · Computer Science 2022-08-12 Aditya Aggarwal , Siddhartha Gairola , Uddeshya Upadhyay , Akshay P Vasishta , Diwakar Rao , Aditya Goyal , Kaushik Murali , Nipun Kwatra , Mohit Jain

Chart-based visual acuity measurements are used by billions of people to diagnose and guide treatment of vision impairment. However, the ubiquitous eye exam has no mechanism for reasoning about uncertainty and as such, suffers from a…

Artificial Intelligence · Computer Science 2019-11-25 Chris Piech , Ali Malik , Laura M Scott , Robert T Chang , Charles Lin

Early ophthalmic screening in low-resource and remote settings is constrained by access to specialized equipment and trained practitioners. We present SKINOPATHY AI, a smartphone-first web application that delivers five complementary,…

Computer Vision and Pattern Recognition · Computer Science 2026-03-03 S. Kalaycioglu , C. Hong , M. Zhu , H. Xie

Screening for any of the Autism Spectrum Disorders is a complicated process often involving a hybrid of behavioural observations and questionnaire based tests. Typically carried out in a controlled setting, this process requires trained…

Human-Computer Interaction · Computer Science 2021-12-07 Rahul Bishain , Bhismadev Chakrabarti , Jayashree Dasgupta , Indu Dubey , Sharat Chandran

The majority of blindness is preventable, and is located in developing countries. While mHealth applications for retinal imaging in combination with affordable smartphone lens adaptors are a step towards better eye care access, the expert…

Human-Computer Interaction · Computer Science 2021-05-27 Daniel Diethei , Ashley Colley , Lisa Dannenberg , Muhammad Fawad Jawaid Malik , Johannes Schöning

Early diagnosis of diabetic retinopathy for treatment of the disease has been failing to reach diabetic people living in rural areas. Shortage of trained ophthalmologists, limited availability of healthcare centers, and expensiveness of…

Image and Video Processing · Electrical Eng. & Systems 2020-04-08 Misgina Tsighe Hagos , Shri Kant , Surayya Ado Bala

Keratoconus is a severe eye disease affecting the cornea (the clear, dome-shaped outer surface of the eye), causing it to become thin and develop a conical bulge. The diagnosis of keratoconus requires sophisticated ophthalmic devices which…

Anemia affects over one billion people globally and remains severely under-diagnosed in low-resource regions where laboratory blood tests are inaccessible. This paper presents AnemiaVision, an end-to-end web-based system for non-invasive…

Computer Vision and Pattern Recognition · Computer Science 2026-04-28 Rahul Patel

Sickle cell disease (SCD) is a major public health priority throughout much of the world, affecting millions of people. In many regions, particularly those in resource-limited settings, SCD is not consistently diagnosed. In Africa, where…

Combining low cost wireless EEG sensors with smartphones offers novel opportunities for mobile brain imaging in an everyday context. We present a framework for building multi-platform, portable EEG applications with real-time 3D source…

Human-Computer Interaction · Computer Science 2014-03-05 Arkadiusz Stopczynski , Carsten Stahlhut , Jakob Eg Larsen , Michael Kai Petersen , Lars Kai Hansen

Access to low cost retinal imaging devices in low and middle income countries is limited, compromising progress in preventing needless blindness. The Arclight is a recently developed low-cost solar powered direct ophthalmoscope which can be…

Computer Vision and Pattern Recognition · Computer Science 2017-08-29 Keylor Daniel Chaves Viquez , Ognjen Arandjelovic , Andrew Blaikie , In Ae Hwang

The presence of any type of defect on the glass screen of smart devices has a great impact on their quality. We present a robust semi-supervised learning framework for intelligent micro-scaled localization and classification of defects on a…

Computer Vision and Pattern Recognition · Computer Science 2020-10-05 M Usman Maqbool Bhutta , Shoaib Aslam , Peng Yun , Jianhao Jiao , Ming Liu

Machine learning is gaining significant attention as a diagnostic tool in medical imaging, particularly in the analysis of retinal fundus images. However, this approach is not yet clinically applicable, as it still depends on human…

Human-Computer Interaction · Computer Science 2025-10-03 Mattea Reid , Zuhairah Zainal , Khaing Zin Than , Danielle Chan , Jonathan Chan

Respiratory auscultation is crucial for early detection of pediatric pneumonia, a condition that can quickly worsen without timely intervention. In areas with limited physician access, effective auscultation is challenging. We present a…

Human-Computer Interaction · Computer Science 2025-04-23 Seung Gyu Jeong , Sung Woo Nam , Seong Kwan Jung , Seong-Eun Kim

Diabetic retinopathy (DR) is the primary cause of vision loss among grownup people around the world. In four out of five cases having diabetes for a prolonged period leads to DR. If detected early, more than 90 percent of the new DR…

Computer Vision and Pattern Recognition · Computer Science 2020-06-16 Niloy Sikder , Md. Sanaullah Chowdhury , Abu Shamim Mohammad Arif , Abdullah-Al Nahid

Recent advances in camera designs and imaging pipelines allow us to capture high-quality images using smartphones. However, due to the small size and lens limitations of the smartphone cameras, we commonly find artifacts or degradation in…

Computer Vision and Pattern Recognition · Computer Science 2023-11-27 Marcos V. Conde , Florin Vasluianu , Javier Vazquez-Corral , Radu Timofte

In this paper, we introduce a portable eye imaging device denoted as lab-on-a-headset, which can automatically perform a swinging flashlight test. We utilized this device in a clinical study to obtain high-resolution recordings of eyes…

Image and Video Processing · Electrical Eng. & Systems 2019-05-23 Dogancan Temel , Melvin J. Mathew , Ghassan AlRegib , Yousuf M. Khalifa

Among the most impactful diabetic complications are diabetic retinopathy, the leading cause of blindness among working class adults, and cardiovascular disease, the leading cause of death worldwide. This study describes the development of…

Medical Physics · Physics 2020-11-17 Kasyap Chakravadhanula

It is estimated that 285 million people globally are visually impaired. A majority of these people live in developing countries and are among the elderly population. One of the most difficult tasks faced by the visually impaired is…

Computers and Society · Computer Science 2015-06-04 Shonal Chaudhry , Rohitash Chandra
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