DocumentCode
2948438
Title
Compact human-machine interface using surface electromyography
Author
Simmons, Luke P. ; Welsh, James S.
Author_Institution
Sch. of Electr. Eng. & Comput. Sci., Univ. of Newcastle Australia, Newcastle, NSW, Australia
fYear
2013
fDate
9-12 July 2013
Firstpage
206
Lastpage
211
Abstract
In this paper we discuss the development of a low cost surface electromyography (sEMG) system and its efficacy as a mechanism for human-machine interfaces. By reducing the size of the surface electromyography hardware to a compact form makes its use as a wearable interface feasible. Reducing both the system cost and complexity while maintaining signal quality also moves towards a viable commercial product. In addition to the compact sEMG system a method for analysing and identifying active signals was developed that can be implemented in real time interfaces. The potential interface structure and methodology was also examined. To evaluate the compact sEMG system two different applications were developed to assess its performance.
Keywords
brain-computer interfaces; electromyography; real-time systems; signal processing; wearable computers; active signal analysis; active signal identification; compact human-machine interface; compact sEMG system; low cost surface electromyography system; real time interfaces; signal quality; surface electromyography; surface electromyography hardware; wearable interface; Digital signal processing; Electromyography; Mechatronics; Muscles; Noise; Real-time systems; Transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Intelligent Mechatronics (AIM), 2013 IEEE/ASME International Conference on
Conference_Location
Wollongong, NSW
ISSN
2159-6247
Print_ISBN
978-1-4673-5319-9
Type
conf
DOI
10.1109/AIM.2013.6584093
Filename
6584093
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