{"title":"基于mr的蔬菜基本切块自学系统","authors":"Miku Kato, M. Makino","doi":"10.1109/ITC-CSCC58803.2023.10212891","DOIUrl":null,"url":null,"abstract":"This paper proposes a MR-based self-learning system for voice cooks, which assists his/her cutting vegetables with selected cutting forms. Superimposing the cutting line on the real vegetables, the system provides actual experience of the cutting to the user without skilled person nearby. The system, installed on Microsoft HoloLens2, is well evaluated by a user test for young people as a self-learning tool.","PeriodicalId":220939,"journal":{"name":"2023 International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC)","volume":"75 1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A MR-Based Self-Learning System of Basic Cutting for Vegetables\",\"authors\":\"Miku Kato, M. Makino\",\"doi\":\"10.1109/ITC-CSCC58803.2023.10212891\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a MR-based self-learning system for voice cooks, which assists his/her cutting vegetables with selected cutting forms. Superimposing the cutting line on the real vegetables, the system provides actual experience of the cutting to the user without skilled person nearby. The system, installed on Microsoft HoloLens2, is well evaluated by a user test for young people as a self-learning tool.\",\"PeriodicalId\":220939,\"journal\":{\"name\":\"2023 International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC)\",\"volume\":\"75 1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-06-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITC-CSCC58803.2023.10212891\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITC-CSCC58803.2023.10212891","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A MR-Based Self-Learning System of Basic Cutting for Vegetables
This paper proposes a MR-based self-learning system for voice cooks, which assists his/her cutting vegetables with selected cutting forms. Superimposing the cutting line on the real vegetables, the system provides actual experience of the cutting to the user without skilled person nearby. The system, installed on Microsoft HoloLens2, is well evaluated by a user test for young people as a self-learning tool.