DocumentCode :
3661330
Title :
EMG based elbow joint powered exoskeleton for biceps brachii strength augmentation
Author :
Vladimir Krasin;Vaibhav Gandhi;Zhijun Yang;Mehmet Karamanoglu
Author_Institution :
School of Science &
fYear :
2015
fDate :
7/1/2015 12:00:00 AM
Firstpage :
1
Lastpage :
6
Abstract :
Electromyography (EMG) signals can be used to integrate with machines and form one assistive system such as a powered exoskeleton. This paper focuses on the design and development of a low-cost elbow joint powered exoskeleton for human power augmentation, controlled by the EMG. Majority of the hardware has been designed and developed in-house, without using expensively available hardware. A theoretical investigation starting from late 1960s up to 2014 has been carried out. A comparison of actuators and control systems that are commonly used for exoskeletons has been carried out in order to decide on the most suitable hardware for the proposed project. Area of EMG was investigated in detail as this type of exoskeleton control is intuitively understandable for the user; also it gives advantage of immediate response of a system to the user´s intentions to perform actions. Prototype tests proved the potential of using EMG to control robotic devices, but also showed that because of the nature of this type of non-stationary signal (EMG), it is also a challenge to be processed.
Keywords :
"Electromyography","Exoskeletons","Prototypes","Indexes","Robots","Hardware","Brakes"
Publisher :
ieee
Conference_Titel :
Neural Networks (IJCNN), 2015 International Joint Conference on
Electronic_ISBN :
2161-4407
Type :
conf
DOI :
10.1109/IJCNN.2015.7280643
Filename :
7280643
Link To Document :
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