G. Saypulaev, I. Merkuryev, M. R. Saypulaev, Victor K. Shestakov, Nikita V. Glazkov, Danil R. Andreev
{"title":"机器人手套在各种系统远程控制中的应用综述","authors":"G. Saypulaev, I. Merkuryev, M. R. Saypulaev, Victor K. Shestakov, Nikita V. Glazkov, Danil R. Andreev","doi":"10.1109/REEPE57272.2023.10086822","DOIUrl":null,"url":null,"abstract":"This article presents a review of patents and scientific articles on the development of robotic gloves used in remote control systems and medical applications. The aim of the work is to analyze the available designs of robotic gloves, identify the most competitive designs of smart gloves and predict the main trends in the development of such gloves. Based on the results of the review, the following promising areas in the development of smart gloves were identified: the use of optimal filtering algorithms for processing measurement data; using advanced artificial intelligence and machine learning algorithms for sign recognition; increase in the number of signs recognized by the smart glove. The most perspective smart glove designs are tendon-driven glove or glove with soft actuator.","PeriodicalId":356187,"journal":{"name":"2023 5th International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A Review of Robotic Gloves Applied for Remote Control in Various Systems\",\"authors\":\"G. Saypulaev, I. Merkuryev, M. R. Saypulaev, Victor K. Shestakov, Nikita V. Glazkov, Danil R. Andreev\",\"doi\":\"10.1109/REEPE57272.2023.10086822\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article presents a review of patents and scientific articles on the development of robotic gloves used in remote control systems and medical applications. The aim of the work is to analyze the available designs of robotic gloves, identify the most competitive designs of smart gloves and predict the main trends in the development of such gloves. Based on the results of the review, the following promising areas in the development of smart gloves were identified: the use of optimal filtering algorithms for processing measurement data; using advanced artificial intelligence and machine learning algorithms for sign recognition; increase in the number of signs recognized by the smart glove. The most perspective smart glove designs are tendon-driven glove or glove with soft actuator.\",\"PeriodicalId\":356187,\"journal\":{\"name\":\"2023 5th International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE)\",\"volume\":\"35 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-03-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 5th International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/REEPE57272.2023.10086822\",\"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 5th International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/REEPE57272.2023.10086822","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Review of Robotic Gloves Applied for Remote Control in Various Systems
This article presents a review of patents and scientific articles on the development of robotic gloves used in remote control systems and medical applications. The aim of the work is to analyze the available designs of robotic gloves, identify the most competitive designs of smart gloves and predict the main trends in the development of such gloves. Based on the results of the review, the following promising areas in the development of smart gloves were identified: the use of optimal filtering algorithms for processing measurement data; using advanced artificial intelligence and machine learning algorithms for sign recognition; increase in the number of signs recognized by the smart glove. The most perspective smart glove designs are tendon-driven glove or glove with soft actuator.