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

AnSmart专门从事智能移动应用的开发。这项建议是为了研究开发一款可以自动跟踪/量化手机摄像头捕捉到的眼球和眼皮运动的应用程序的技术可行性。眼球运动的特征检测可以显示大量疾病的有价值的指征，包括面神经麻痹和瘫痪。及早发现和治疗这些疾病需要不断监测进展情况。眼球和眼皮运动的自我检查可以显著改善患者的护理，降低医疗成本。我们预计这些技术将是快速、健壮和全自动的。通过分包英国最大的眼科中心Moorfield眼科医院的工作，这将为眼科保健市场带来一种全新的、实用的产品。

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.