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Real-time control of a prosthetic hand using human electrocorticography signals.
OBJECT A brain-machine interface (BMI) offers patients with severe motor disabilities greater independence by controlling external devices such as prosthetic arms. Among the available signal sourcesExpand
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Electrocorticographic control of a prosthetic arm in paralyzed patients
Paralyzed patients may benefit from restoration of movement afforded by prosthetics controlled by electrocorticography (ECoG). Although ECoG shows promising results in human volunteers, it is unclearExpand
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An active artificial whisker array for texture discrimination
TLDR
Whiskers are powerful sensors for robots that are not only useful for basic tasks such as obstacle avoidance, but also have the potential for gathering rich information about objects. Expand
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A Gate-Level EHW Chip: Implementing GA Operations and Reconfigurable Hardware on a Single LSI
TLDR
In this paper, we describe an integrated EHW LSI chip that consists of GA hardware, reconfigurable hardware logic, a chromosome memory, a training data memory, and a 16-bit CPU core (NEC V30). Expand
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Development of hand rehabilitation system for paralysis patient – universal design using wire-driven mechanism –
TLDR
We have developed a hand rehabilitation system for patients suffering from paralysis or contracture. Expand
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Natural Heat-Sinking Control Method for High-Speed Actuation of the SMA
TLDR
This paper describes two methodologies for increasing the actuation speed of the shape memory alloy (SMA) actuator in ambient environment. Expand
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EMG prosthetic hand controller using real-time learning method
TLDR
This paper reports the prosthetic hand controller discriminating ten forearm motions from two channels of EMG signals. Expand
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Adaptable EMG Prosthetic Hand using On-line Learning Method -Investigation of Mutual Adaptation between Human and Adaptable Machine
TLDR
We developed a new adaptable EMG prosthetic hand, which executes recognition process and learning process in parallel and can keep up with change in the mapping between an electromyographic signals (EMG) to the desired motion, for amputee. Expand
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One-Channel Surface Electromyography Decomposition for Muscle Force Estimation
TLDR
We propose an unsupervised method to estimate muscle force by surface electromyography using a decomposition of one-channel sEMG signals into constituent motor unit action potentials. Expand
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On‐line learning method for EMG prosthetic hand control
This paper proposes a novel learning method for prosthetic hand control. Conventional works have used off-line learning methods for control, and hence two kinds of training must be carried outExpand
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