Automatic eye movement detection using Markov Random Field on mobile devices for ophthamic healthcare

AnSmart专注于智能移动应用程序的开发。本提案旨在研究开发一款应用程序的技术可行性，该应用程序可以自动跟踪/量化从移动摄像机捕获的眼球和眼睑运动。眼动特征检测可以对包括面神经麻痹和麻痹在内的许多疾病显示有价值的指示。这些疾病的早期发现和治疗需要不断监测进展情况。自我检查眼球和眼睑运动可以显著改善病人的护理，降低医疗费用。我们期望这些技术是快速的、健壮的和全自动的。通过与英国最大的眼科中心Moorfields眼科医院的分包工作，这将为眼科保健市场带来全新的实用产品。

AnSmart specializes in the development of intelligent mobile apps. This proposal is to investigate the technical feasibility of developing an app that can automatically track/quantify eyeball and eyelid movement captured from mobile video camera. The feature detection of eye motion can show valuable indications of a large number of diseases, including facial nerve palsy and paralysis. The early detection and treatment of those diseases involve a constant monitoring of progress. Self examination of eyeball and eyelid movement can significantly improve patient care and reduce the healthcare cost. We anticipate the techniques to be fast, robust and fully automatic. By subcontracting work with the largest eye centre in the UK, Moorfields eye hospital, this will result in a radically new, practical product for the ophthalmic healthcare market.