M. Shiomi, Tsuyoshi Komatsubara, T. Kaczmarek, T. Kanda, H. Ishiguro
{"title":"通过观察课堂活动来评估儿童的特征","authors":"M. Shiomi, Tsuyoshi Komatsubara, T. Kaczmarek, T. Kanda, H. Ishiguro","doi":"10.23919/APSIPA.2018.8659748","DOIUrl":null,"url":null,"abstract":"Good teachers recognize how each of their students is different from the others and adapt how they support them. We replicate such a capability to understand the individual specificities of children. Our approach observed the social signals of fifth graders based on their daily classroom behavior using a sensor network. We used depth cameras to track their positions and identified them with RGB cameras. We observed 84 children (three classes) and used these results to estimate school-related children's characteristics: self-efficacy, performance-goal, and exam scores. The estimation yielded 73.0–74.7% accuracy for the target variables.","PeriodicalId":287799,"journal":{"name":"2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Estimating Children's Characteristics by Observing their Classroom Activities\",\"authors\":\"M. Shiomi, Tsuyoshi Komatsubara, T. Kaczmarek, T. Kanda, H. Ishiguro\",\"doi\":\"10.23919/APSIPA.2018.8659748\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Good teachers recognize how each of their students is different from the others and adapt how they support them. We replicate such a capability to understand the individual specificities of children. Our approach observed the social signals of fifth graders based on their daily classroom behavior using a sensor network. We used depth cameras to track their positions and identified them with RGB cameras. We observed 84 children (three classes) and used these results to estimate school-related children's characteristics: self-efficacy, performance-goal, and exam scores. The estimation yielded 73.0–74.7% accuracy for the target variables.\",\"PeriodicalId\":287799,\"journal\":{\"name\":\"2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/APSIPA.2018.8659748\",\"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 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/APSIPA.2018.8659748","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Estimating Children's Characteristics by Observing their Classroom Activities
Good teachers recognize how each of their students is different from the others and adapt how they support them. We replicate such a capability to understand the individual specificities of children. Our approach observed the social signals of fifth graders based on their daily classroom behavior using a sensor network. We used depth cameras to track their positions and identified them with RGB cameras. We observed 84 children (three classes) and used these results to estimate school-related children's characteristics: self-efficacy, performance-goal, and exam scores. The estimation yielded 73.0–74.7% accuracy for the target variables.