{"title":"基于移动终端的肌电假肢手控制系统的开发","authors":"T. Harada, Shunta Togo, Yinlai Jiang, H. Yokoi","doi":"10.1109/IISR.2018.8535863","DOIUrl":null,"url":null,"abstract":"Human fingers are indispensable to live. Prosthetic hands are often used for the reconstruction of the function of the fingers of upper limb amputees. There are many patients who wish to wear myoelectric prosthetic hands. However, it is not popular now in Japan. Hoshikawa et al. developed simplified myoelectric prosthetic hand as an easy-to-use one. However, it has problems with learning speed and scalability. In this research, Shadow System BLE was developed to solve the problem. This system can perform learning calculation and identification on a smartphone connected by Bluetooth Low Energy. We confirmed that it can perform learning calculation at high speed using abundant computing resources and can demonstrate the same identification rate as conventional system. Normally, since the smartphone is connected to the Internet, it is possible to use the server for identification or to use the Web API in the future.","PeriodicalId":201828,"journal":{"name":"2018 IEEE International Conference on Intelligence and Safety for Robotics (ISR)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Development of Myoelectric Prosthetic Hand Control System Using Mobile Terminal\",\"authors\":\"T. Harada, Shunta Togo, Yinlai Jiang, H. Yokoi\",\"doi\":\"10.1109/IISR.2018.8535863\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Human fingers are indispensable to live. Prosthetic hands are often used for the reconstruction of the function of the fingers of upper limb amputees. There are many patients who wish to wear myoelectric prosthetic hands. However, it is not popular now in Japan. Hoshikawa et al. developed simplified myoelectric prosthetic hand as an easy-to-use one. However, it has problems with learning speed and scalability. In this research, Shadow System BLE was developed to solve the problem. This system can perform learning calculation and identification on a smartphone connected by Bluetooth Low Energy. We confirmed that it can perform learning calculation at high speed using abundant computing resources and can demonstrate the same identification rate as conventional system. Normally, since the smartphone is connected to the Internet, it is possible to use the server for identification or to use the Web API in the future.\",\"PeriodicalId\":201828,\"journal\":{\"name\":\"2018 IEEE International Conference on Intelligence and Safety for Robotics (ISR)\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE International Conference on Intelligence and Safety for Robotics (ISR)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IISR.2018.8535863\",\"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 IEEE International Conference on Intelligence and Safety for Robotics (ISR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IISR.2018.8535863","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
摘要
人的手指是生命不可缺少的。假手常用于上肢截肢者手指功能的重建。有很多患者希望佩戴肌电义肢。然而,它现在在日本并不流行。Hoshikawa等人开发了简化的肌电假手,使其易于使用。然而,它在学习速度和可扩展性方面存在问题。为了解决这个问题,本研究开发了Shadow System BLE。该系统可以在低功耗蓝牙连接的智能手机上进行学习计算和识别。结果表明,该方法可以利用丰富的计算资源进行高速的学习计算,并且具有与传统系统相同的识别率。通常,由于智能手机连接到互联网,因此将来可以使用服务器进行身份识别或使用Web API。
Development of Myoelectric Prosthetic Hand Control System Using Mobile Terminal
Human fingers are indispensable to live. Prosthetic hands are often used for the reconstruction of the function of the fingers of upper limb amputees. There are many patients who wish to wear myoelectric prosthetic hands. However, it is not popular now in Japan. Hoshikawa et al. developed simplified myoelectric prosthetic hand as an easy-to-use one. However, it has problems with learning speed and scalability. In this research, Shadow System BLE was developed to solve the problem. This system can perform learning calculation and identification on a smartphone connected by Bluetooth Low Energy. We confirmed that it can perform learning calculation at high speed using abundant computing resources and can demonstrate the same identification rate as conventional system. Normally, since the smartphone is connected to the Internet, it is possible to use the server for identification or to use the Web API in the future.