{"title":"侵入式视频视觉设备:一种基于眼睛的通信设备","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":"{\"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}","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}
Intrusive video oculographic device: An eye-gaze-based device for communication
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.