{"title":"人机交互使用潜水员手势信号","authors":"Robert Codd-Downey, M. Jenkin","doi":"10.1109/HRI.2019.8673133","DOIUrl":null,"url":null,"abstract":"Current methods for human robot interaction in the underwater domain seem antiquated in comparison to their terrestrial counterparts. Visual tags and custom built wired remotes are commonplace underwater, but such approaches have numerous drawbacks. Here we describe a method for human robot interaction underwater that borrows from the long standing history of diver communication using hand signals; a three stage approach for diver-robot communication using a series of neural networks.","PeriodicalId":6600,"journal":{"name":"2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI)","volume":"26 1","pages":"550-551"},"PeriodicalIF":0.0000,"publicationDate":"2019-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Human Robot Interaction Using Diver Hand Signals\",\"authors\":\"Robert Codd-Downey, M. Jenkin\",\"doi\":\"10.1109/HRI.2019.8673133\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Current methods for human robot interaction in the underwater domain seem antiquated in comparison to their terrestrial counterparts. Visual tags and custom built wired remotes are commonplace underwater, but such approaches have numerous drawbacks. Here we describe a method for human robot interaction underwater that borrows from the long standing history of diver communication using hand signals; a three stage approach for diver-robot communication using a series of neural networks.\",\"PeriodicalId\":6600,\"journal\":{\"name\":\"2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI)\",\"volume\":\"26 1\",\"pages\":\"550-551\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-03-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/HRI.2019.8673133\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HRI.2019.8673133","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Current methods for human robot interaction in the underwater domain seem antiquated in comparison to their terrestrial counterparts. Visual tags and custom built wired remotes are commonplace underwater, but such approaches have numerous drawbacks. Here we describe a method for human robot interaction underwater that borrows from the long standing history of diver communication using hand signals; a three stage approach for diver-robot communication using a series of neural networks.