{"title":"违反IEEE出版原则的通知网络摄像头鼠标:身体特征的视觉3D跟踪,为严重残疾人提供计算机访问","authors":"M. Atyabi, M. Hosseini, M. Mokhtari","doi":"10.1109/INDCON.2006.302809","DOIUrl":null,"url":null,"abstract":"The \"Webcam mouse\" system has been developed to provide computer access for people with severe disabilities. The system tracks the computer user's movements with a Webcam and translates them into the movements of the mouse pointer on the screen. Body features such as the tip of the user's nose or finger can be tracked. The visual tracking algorithm is based on cropping an online template of the tracked feature from the current image frame and testing where this template correlates in the subsequent frame. The location of the highest correlation is interpreted as the new location of the feature in the subsequent frame. Various body features are examined for tracking robustness and user convenience. A group of 33 people without disabilities tested the Webcam mouse and quickly learned how to use it to spell out messages or play games. Seven people with severe cerebral palsy or traumatic brain injury have tried the system, five of whom have shown success. They interacted with their environment by spelling out messages and exploring the Internet","PeriodicalId":122715,"journal":{"name":"2006 Annual IEEE India Conference","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Notice of Violation of IEEE Publication Principles The Webcam Mouse: Visual 3D Tracking of Body Features to Provide Computer Access for People with Severe Disabilities\",\"authors\":\"M. Atyabi, M. Hosseini, M. Mokhtari\",\"doi\":\"10.1109/INDCON.2006.302809\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The \\\"Webcam mouse\\\" system has been developed to provide computer access for people with severe disabilities. The system tracks the computer user's movements with a Webcam and translates them into the movements of the mouse pointer on the screen. Body features such as the tip of the user's nose or finger can be tracked. The visual tracking algorithm is based on cropping an online template of the tracked feature from the current image frame and testing where this template correlates in the subsequent frame. The location of the highest correlation is interpreted as the new location of the feature in the subsequent frame. Various body features are examined for tracking robustness and user convenience. A group of 33 people without disabilities tested the Webcam mouse and quickly learned how to use it to spell out messages or play games. Seven people with severe cerebral palsy or traumatic brain injury have tried the system, five of whom have shown success. They interacted with their environment by spelling out messages and exploring the Internet\",\"PeriodicalId\":122715,\"journal\":{\"name\":\"2006 Annual IEEE India Conference\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 Annual IEEE India Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INDCON.2006.302809\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 Annual IEEE India Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INDCON.2006.302809","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Notice of Violation of IEEE Publication Principles The Webcam Mouse: Visual 3D Tracking of Body Features to Provide Computer Access for People with Severe Disabilities
The "Webcam mouse" system has been developed to provide computer access for people with severe disabilities. The system tracks the computer user's movements with a Webcam and translates them into the movements of the mouse pointer on the screen. Body features such as the tip of the user's nose or finger can be tracked. The visual tracking algorithm is based on cropping an online template of the tracked feature from the current image frame and testing where this template correlates in the subsequent frame. The location of the highest correlation is interpreted as the new location of the feature in the subsequent frame. Various body features are examined for tracking robustness and user convenience. A group of 33 people without disabilities tested the Webcam mouse and quickly learned how to use it to spell out messages or play games. Seven people with severe cerebral palsy or traumatic brain injury have tried the system, five of whom have shown success. They interacted with their environment by spelling out messages and exploring the Internet