{"title":"启发式在线自动监考系统","authors":"R. S. V. Raj, S. Narayanan, K. Bijlani","doi":"10.1109/ICALT.2015.127","DOIUrl":null,"url":null,"abstract":"This paper proposes a novel multi-modal method for automatic online proctoring using a combination of image processing, audio processing and PC monitoring techniques. In the proposed system the remote proctor only has to inspect the examination room. The proposed system is evaluated with a dataset mimicking the malpractice scenarios, the accuracy of the system is demonstrated with false positive rate of 0.08 and true negative rate of 0.13.","PeriodicalId":170914,"journal":{"name":"2015 IEEE 15th International Conference on Advanced Learning Technologies","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":"{\"title\":\"Heuristic-Based Automatic Online Proctoring System\",\"authors\":\"R. S. V. Raj, S. Narayanan, K. Bijlani\",\"doi\":\"10.1109/ICALT.2015.127\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a novel multi-modal method for automatic online proctoring using a combination of image processing, audio processing and PC monitoring techniques. In the proposed system the remote proctor only has to inspect the examination room. The proposed system is evaluated with a dataset mimicking the malpractice scenarios, the accuracy of the system is demonstrated with false positive rate of 0.08 and true negative rate of 0.13.\",\"PeriodicalId\":170914,\"journal\":{\"name\":\"2015 IEEE 15th International Conference on Advanced Learning Technologies\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-07-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE 15th International Conference on Advanced Learning Technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICALT.2015.127\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE 15th International Conference on Advanced Learning Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICALT.2015.127","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Heuristic-Based Automatic Online Proctoring System
This paper proposes a novel multi-modal method for automatic online proctoring using a combination of image processing, audio processing and PC monitoring techniques. In the proposed system the remote proctor only has to inspect the examination room. The proposed system is evaluated with a dataset mimicking the malpractice scenarios, the accuracy of the system is demonstrated with false positive rate of 0.08 and true negative rate of 0.13.