Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Hyeon-min Shim"'
Publikováno v:
Symmetry, Vol 8, Iss 12, p 148 (2016)
In this paper; we introduce an enhanced electromyography (EMG) pattern recognition algorithm based on a split-and-merge deep belief network (SM-DBN). Generally, it is difficult to classify the EMG features because the EMG signal has nonlinear and tim
Externí odkaz:
https://doaj.org/article/18b7ff9030414338aa91e0996d3ad2cc
Publikováno v:
Medical & Biological Engineering & Computing. 55:207-212
Caloric vestibular stimulation (CVS) and galvanic vestibular stimulation (GVS) act primarily on the peripheral vestibular system. Although the electrical current applied during GVS is thought to flow through peripheral vestibular organs, some current
Publikováno v:
Pattern Recognition Letters. 65:137-144
We present a novel GA based feature extractor for network optimal initialization.Our method selects more dominant feature extractor in merge phase using GA.Results show improvements recognition performance in comparison with DBNs.We also suggest a ne
Autor:
Sangmin Lee, Hyeon-Min Shim
Publikováno v:
Journal of Central South University. 22:1801-1808
An enhanced algorithm is proposed to recognize multi-channel electromyography (EMG) patterns using deep belief networks (DBNs). It is difficult to classify the EMG features because an EMG signal has nonlinear and time-varying characteristics. Therefo
Publikováno v:
Journal of Institute of Control, Robotics and Systems. 21:401-406
Publikováno v:
The Transactions of The Korean Institute of Electrical Engineers. 63:541-545
In this paper, the angle of the thighs that appear during walking condition to balance estimation to the left and right leg was occurred during normal walking. Get over to the limitations of gait analysis using image processing or foot pressure that
Publikováno v:
Journal of Biomedical Engineering Research. 35:8-13
Publikováno v:
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. :1615-1618
Publikováno v:
Symmetry; Volume 8; Issue 12; Pages: 148
Symmetry, Vol 8, Iss 12, p 148 (2016)
Symmetry, Vol 8, Iss 12, p 148 (2016)
In this paper; we introduce an enhanced electromyography (EMG) pattern recognition algorithm based on a split-and-merge deep belief network (SM-DBN). Generally, it is difficult to classify the EMG features because the EMG signal has nonlinear and tim
Publikováno v:
ICTC
Although physical exercise of patients is very important for their quality of life, the guide line for physical movement considering muscle fatigue is not insufficient. In this study, we propose an easy detection algorithm for muscle fatigue estimati