{"title":"基于机器视觉的自闭症筛查人机交互分析","authors":"M. Moghadas, H. Moradi","doi":"10.1109/ICROM.2018.8657569","DOIUrl":null,"url":null,"abstract":"In this paper, a vision-based approach is proposed to analyze the Human Robot Interaction (HRI) and extract features that can be used to distinguish between children with autism and Typically Developed (TD) children. The algorithm has been tested on the interaction of a set of children with autism and TD children with a parrot-like robot. For each subject, 190 seconds of interaction was recorded, and tracking algorithms were used to determine the position of each child with respect to the robot. Then, features were extracted and Gaussian SVM was used to distinguish between TD and children with autism reaching 81.3% accuracy.","PeriodicalId":383818,"journal":{"name":"2018 6th RSI International Conference on Robotics and Mechatronics (IcRoM)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Analyzing Human-Robot Interaction Using Machine Vision for Autism screening\",\"authors\":\"M. Moghadas, H. Moradi\",\"doi\":\"10.1109/ICROM.2018.8657569\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a vision-based approach is proposed to analyze the Human Robot Interaction (HRI) and extract features that can be used to distinguish between children with autism and Typically Developed (TD) children. The algorithm has been tested on the interaction of a set of children with autism and TD children with a parrot-like robot. For each subject, 190 seconds of interaction was recorded, and tracking algorithms were used to determine the position of each child with respect to the robot. Then, features were extracted and Gaussian SVM was used to distinguish between TD and children with autism reaching 81.3% accuracy.\",\"PeriodicalId\":383818,\"journal\":{\"name\":\"2018 6th RSI International Conference on Robotics and Mechatronics (IcRoM)\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 6th RSI International Conference on Robotics and Mechatronics (IcRoM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICROM.2018.8657569\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 6th RSI International Conference on Robotics and Mechatronics (IcRoM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICROM.2018.8657569","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analyzing Human-Robot Interaction Using Machine Vision for Autism screening
In this paper, a vision-based approach is proposed to analyze the Human Robot Interaction (HRI) and extract features that can be used to distinguish between children with autism and Typically Developed (TD) children. The algorithm has been tested on the interaction of a set of children with autism and TD children with a parrot-like robot. For each subject, 190 seconds of interaction was recorded, and tracking algorithms were used to determine the position of each child with respect to the robot. Then, features were extracted and Gaussian SVM was used to distinguish between TD and children with autism reaching 81.3% accuracy.
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