{"title":"Intrusive video oculographic device: An eye-gaze-based device for communication","authors":"Abhishek Kumar, J. J. Anand, B. N. Hemanth Kumar","doi":"10.1142/s2737599422500025","DOIUrl":null,"url":null,"abstract":"With the improvement in image processing and using the fact that eye movement can persist even with severe paralysis condition, we have developed a device that enables a severely paralysed patient to communicate. The device developed makes it possible for the patient to communicate in “yes” or “no” with the movement of the eyeball alone. In the proposed work, we have used Raspberry Pi as the main processor and Python as programming tool. A 5-megapixel camera is used to read eye movement, a speaker is used to speak “yes” or “no” for the patient and a normal power bank is used to supply the proposed setup. The designed device is efficient, cost-effective, lightweight, and can easily fit on the head.","PeriodicalId":29682,"journal":{"name":"Innovation and Emerging Technologies","volume":"110 1","pages":""},"PeriodicalIF":2.4000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Innovation and Emerging Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1142/s2737599422500025","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
With the improvement in image processing and using the fact that eye movement can persist even with severe paralysis condition, we have developed a device that enables a severely paralysed patient to communicate. The device developed makes it possible for the patient to communicate in “yes” or “no” with the movement of the eyeball alone. In the proposed work, we have used Raspberry Pi as the main processor and Python as programming tool. A 5-megapixel camera is used to read eye movement, a speaker is used to speak “yes” or “no” for the patient and a normal power bank is used to supply the proposed setup. The designed device is efficient, cost-effective, lightweight, and can easily fit on the head.