Y. Nakauchi, Takuo Suzuki, Akira Tokumasu, S. Murakami
{"title":"Cooking procedure recognition and inference in sensor embedded kitchen","authors":"Y. Nakauchi, Takuo Suzuki, Akira Tokumasu, S. Murakami","doi":"10.1109/ROMAN.2009.5326050","DOIUrl":null,"url":null,"abstract":"This paper proposes cooking support using ubiquitous sensors. We developed a machine learning algorithm that recognizes cooking procedures by taking into account widely varying sensor information and user behavior. To provide appropriate instructions to users, we developed a Markov-model-based behavior prediction algorithm. Using these algorithms, we developed cooking support automatically displaying cooking instruction videos based on user progress. Experiments and experimental results confirmed the feasibility of our proposed cooking support.","PeriodicalId":187657,"journal":{"name":"RO-MAN 2009 - The 18th IEEE International Symposium on Robot and Human Interactive Communication","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"RO-MAN 2009 - The 18th IEEE International Symposium on Robot and Human Interactive Communication","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ROMAN.2009.5326050","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
This paper proposes cooking support using ubiquitous sensors. We developed a machine learning algorithm that recognizes cooking procedures by taking into account widely varying sensor information and user behavior. To provide appropriate instructions to users, we developed a Markov-model-based behavior prediction algorithm. Using these algorithms, we developed cooking support automatically displaying cooking instruction videos based on user progress. Experiments and experimental results confirmed the feasibility of our proposed cooking support.