Implantable myoelectric control system with sensory feedback

1985 ◽  
Vol 23 (1) ◽  
pp. 87-89 ◽  
Author(s):  
D. F. Lovely ◽  
B. S. Hudgins ◽  
R. N. Scott
Keyword(s):  
Control System ◽  
Sensory Feedback ◽  
Myoelectric Control

scholarly journals Model and experiments to optimize co-adaptation in a simplified myoelectric control system

2018 ◽  
Vol 15 (2) ◽  
pp. 026006 ◽  
Author(s):  
M Couraud ◽  
D Cattaert ◽  
F Paclet ◽  
P Y Oudeyer ◽  
A de Rugy
Keyword(s):  
Control System ◽  
Myoelectric Control

Smart Prosthetic Hand with Object Slippage Detection, Measurement, and Control

2014 ◽  
Vol 5 (3) ◽  
pp. 25-48
Author(s):  
Girish Sriram ◽  
Alex Jensen ◽  
Steve C. Chiu
Keyword(s):  
Control System ◽  
Control Strategy ◽  
Degrees Of Freedom ◽  
Sensory Feedback ◽  
Position Control ◽  
Tactile Feedback ◽  
Human Hand ◽  
Computing Platform ◽  
Emg Signal ◽  
A New Technique

The human hand along with its fingers possess one of the highest numbers of nerve endings in the human body. It thus has the capacity for the richest tactile feedback for positioning capabilities. This article shares a new technique of controlling slippage. The sensing system used for the detection of slippage is a modified force sensing resistor (FSR®). The control system is a fuzzy logic control algorithm with multiple rules that is designed to be processed on a mobile handheld computing platform and integrated/working alongside a traditional Electromyography (EMG) or Electroencephalography (EEG) based control system used for determining position of the fingers. A 5 Degrees of Freedom (DOF) hand, was used to test the slippage control strategy in real time. First a reference EMG signal was used for getting the 5 DOF hand to grasp an object, using position control. Then a slip was introduced to see the slippage control strategy at work. The results based on the plain tactile sensory feedback and the modified sensory feedback are discussed.

scholarly journals Hand movements classification for myoelectric control system using adaptive resonance theory

2015 ◽  
Vol 39 (1) ◽  
pp. 85-102 ◽  
Author(s):  
H. Jahani Fariman ◽  
Siti A. Ahmad ◽  
M. Hamiruce Marhaban ◽  
M. Alijan Ghasab ◽  
Paul H. Chappell
Keyword(s):  
Control System ◽  
Myoelectric Control ◽  
Adaptive Resonance Theory ◽  
Hand Movements ◽  
Resonance Theory ◽  
Adaptive Resonance

Improving the Robustness of Myoelectric Control System Using Linear Regression Classifier

2018 ◽  
Author(s):  
Yanjuan Geng ◽  
Tianbao Sun ◽  
Oluwarotimi Williams Samuel ◽  
Shixiong Chen ◽  
Xuyan Xing ◽  
...  
Keyword(s):  
Control System ◽  
Linear Regression ◽  
Myoelectric Control

Sensory-feedback system compatible with myoelectric control

1980 ◽  
Vol 18 (1) ◽  
pp. 65-69 ◽  
Author(s):  
R. N. Scott ◽  
R. H. Brittain ◽  
R. R. Caldwell ◽  
A. B. Cameron ◽  
V. A. Dunfield
Keyword(s):  
Sensory Feedback ◽  
Feedback System ◽  
Myoelectric Control

A hybrid auricular control system: direct, simultaneous, and proportional myoelectric control of two degrees of freedom in prosthetic hands

2018 ◽  
Vol 15 (5) ◽  
pp. 056028 ◽  
Author(s):  
Leonie Schmalfuss ◽  
Janne Hahne ◽  
Dario Farina ◽  
Manuel Hewitt ◽  
Andreas Kogut ◽  
...  
Keyword(s):  
Control System ◽  
Degrees Of Freedom ◽  
Myoelectric Control ◽  
Two Degrees Of Freedom ◽  
Prosthetic Hands
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