Title :
A study on man-machine interface using EMG signals over the whole body
Author :
Ueda, Keisuke ; Kobayashi, Hiroyuki
Author_Institution :
Grad. Sch., Osaka Inst. of Technol., Osaka, Japan
Abstract :
This paper deals with a bio-signal processing system for universal man-machine interface which is not limited for particular application. The basic idea for universal interface is to employ much more channels of bio-signal than required degree of freedom of target plant, for which we use a neural network approach because of its advantages in parallel processing and machine learning. In this paper, authors reported the concept for their universal interface and validation results of its effectivity.
Keywords :
electromyography; neural nets; signal processing; user interfaces; EMG signal; bio-signal processing system; machine learning; neural network; parallel processing; universal man-machine interface; Artificial neural networks; Brain modeling; Electromyography; Neurons; Signal processing; Smoothing methods; User interfaces; EMG; bio-signal; neural network; universal interface;
Conference_Titel :
SICE Annual Conference (SICE), 2011 Proceedings of
Conference_Location :
Tokyo
Print_ISBN :
978-1-4577-0714-8
