Syed Usama Bin Sabir, Kashif Ahmed, Usama Sabir, Noman Naseer
{"title":"基于直觉控制的机械臂动力增强外骨骼设计与制造","authors":"Syed Usama Bin Sabir, Kashif Ahmed, Usama Sabir, Noman Naseer","doi":"10.1109/AIMS52415.2021.9466021","DOIUrl":null,"url":null,"abstract":"In this paper, design and testing phase of a powered exoskeleton built for enhancement of upper limb, is discussed. An exoskeleton for right upper limb is made having optimal weight actuated by a stepper motor. The input signal for this device to operate is an EMG signal taken from muscular movements of muscles inside forearm. Clenching fist and palm extension are the hand gestures to operate exoskeleton. A binary classifier, Linear Discriminant Analysis, is trained for the corresponding EMG signals of these hand movements to generate control commands for operating device with accuracy. The project also includes acquiring and processing EMG signals. The augmenting factor of this device is set to 1.5 to assist user for lifting loads ranging from 5 to 10 KG for an extended period without causing muscular fatigue.","PeriodicalId":299121,"journal":{"name":"2021 International Conference on Artificial Intelligence and Mechatronics Systems (AIMS)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Design and Fabrication of Exoskeleton for Power Augmentation of Arm using Intuitive Control\",\"authors\":\"Syed Usama Bin Sabir, Kashif Ahmed, Usama Sabir, Noman Naseer\",\"doi\":\"10.1109/AIMS52415.2021.9466021\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, design and testing phase of a powered exoskeleton built for enhancement of upper limb, is discussed. An exoskeleton for right upper limb is made having optimal weight actuated by a stepper motor. The input signal for this device to operate is an EMG signal taken from muscular movements of muscles inside forearm. Clenching fist and palm extension are the hand gestures to operate exoskeleton. A binary classifier, Linear Discriminant Analysis, is trained for the corresponding EMG signals of these hand movements to generate control commands for operating device with accuracy. The project also includes acquiring and processing EMG signals. The augmenting factor of this device is set to 1.5 to assist user for lifting loads ranging from 5 to 10 KG for an extended period without causing muscular fatigue.\",\"PeriodicalId\":299121,\"journal\":{\"name\":\"2021 International Conference on Artificial Intelligence and Mechatronics Systems (AIMS)\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-04-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 International Conference on Artificial Intelligence and Mechatronics Systems (AIMS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AIMS52415.2021.9466021\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Artificial Intelligence and Mechatronics Systems (AIMS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AIMS52415.2021.9466021","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Design and Fabrication of Exoskeleton for Power Augmentation of Arm using Intuitive Control
In this paper, design and testing phase of a powered exoskeleton built for enhancement of upper limb, is discussed. An exoskeleton for right upper limb is made having optimal weight actuated by a stepper motor. The input signal for this device to operate is an EMG signal taken from muscular movements of muscles inside forearm. Clenching fist and palm extension are the hand gestures to operate exoskeleton. A binary classifier, Linear Discriminant Analysis, is trained for the corresponding EMG signals of these hand movements to generate control commands for operating device with accuracy. The project also includes acquiring and processing EMG signals. The augmenting factor of this device is set to 1.5 to assist user for lifting loads ranging from 5 to 10 KG for an extended period without causing muscular fatigue.