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Sign language recognition (SLR) could help the deaf better communicate with individuals who do not understand sign language, which could also be used in human-computer interaction (HCI). In this paper, surface Electromyography (sEMG) signals and accelerometer (ACC) signals are acquired from the right forearm, wrist and the back of the hand for 18 isolated Chinese Sign Language (CSL) signs. A new position...
Myoelectric control with surface EMG signal has achieved great success in clinics, but only limited to the control of 2-Degrees-of-freedom prosthesis. With the appearance of multiple-channel and high-density EMG system and the advances of pattern recognition technology, it becomes possible to control a multi-degree smart prosthesis using EMG signals. However, it requires high performance EMG systems...
The JPL BioSleeve is a wearable gesture-based human interface for natural robot control. Activity of the user's hand and arm is monitored via surface electromyography sensors and an inertial measurement unit that are embedded in a forearm sleeve. Gesture recognition software then decodes the sensor signals, classifies gesture type, and maps the result to output commands to be sent to a robot. The...
In this paper, robot hand design aiming at application to a myoelectric prosthetic hand and recognition of finger operation via surface EMG are discussed. The robot hand with two fingers, thumb and index finger, was built to implement fundamental motions required in daily life, such as grasping and holding. The fingers are driven by the wire actuation system to imitate the human's tendon mechanism...
Recognition of the singularity such as the peculiarity or the inexpertness of the unskilled operator is necessary for safe operation. In this paper, based on the surface EMG signals, we propose a gesture recognition method and a novel distinction method of the singularity in operation. In order to evaluate the proposed gesture recognition and singularity distinction methods, experiments were carried...
There is an urgent need for developing a robust technique that can identify small and subtle hand and other body movements with applications in health, rehabilitation and defence. Surface electromyogram (sEMG) is a measure of the electrical activity of the muscles and a measure of the strength of muscle contraction. While this may be a good measure of the actions and gestures, this is unable to identify...
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