{"title":"从眼睛和话语数据中提取风险识别中的场监督特征","authors":"N. Kushiro, Yuji Fujita, Yusuke Aoyama","doi":"10.1109/ICDMW.2017.83","DOIUrl":null,"url":null,"abstract":"In this study, we have developed the video based risk recognition training tool with an eye tracking device and a motion sensor. We applied the tool on the risk recognition training in a construction company and extracted features in risk recognition of expert field overseers from their eyes and utterances during the training. As the results of the examinations, typical risk recognition processes for the experts (Meta-knowledge) and the experts' knowledge used for individual risk recognitions (Domain knowledge) were elicited.","PeriodicalId":389183,"journal":{"name":"2017 IEEE International Conference on Data Mining Workshops (ICDMW)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Extracting Field Oversees’ Features in Risk Recognition from Data of Eyes and Utterances\",\"authors\":\"N. Kushiro, Yuji Fujita, Yusuke Aoyama\",\"doi\":\"10.1109/ICDMW.2017.83\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this study, we have developed the video based risk recognition training tool with an eye tracking device and a motion sensor. We applied the tool on the risk recognition training in a construction company and extracted features in risk recognition of expert field overseers from their eyes and utterances during the training. As the results of the examinations, typical risk recognition processes for the experts (Meta-knowledge) and the experts' knowledge used for individual risk recognitions (Domain knowledge) were elicited.\",\"PeriodicalId\":389183,\"journal\":{\"name\":\"2017 IEEE International Conference on Data Mining Workshops (ICDMW)\",\"volume\":\"59 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE International Conference on Data Mining Workshops (ICDMW)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDMW.2017.83\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE International Conference on Data Mining Workshops (ICDMW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDMW.2017.83","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Extracting Field Oversees’ Features in Risk Recognition from Data of Eyes and Utterances
In this study, we have developed the video based risk recognition training tool with an eye tracking device and a motion sensor. We applied the tool on the risk recognition training in a construction company and extracted features in risk recognition of expert field overseers from their eyes and utterances during the training. As the results of the examinations, typical risk recognition processes for the experts (Meta-knowledge) and the experts' knowledge used for individual risk recognitions (Domain knowledge) were elicited.
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