AIMC Topic: Electromyography

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An Extended Spatial Transformer Convolutional Neural Network for Gesture Recognition and Self-Calibration Based on Sparse sEMG Electrodes.

IEEE transactions on biomedical circuits and systems Feb 14, 2023
sEMG-based gesture recognition is widely applied in human-machine interaction system by its unique advantages. However, the accuracy of recognition drops significantly as electrodes shift. Besides, in applications such as VR, virtual hands should be ...
Neural Networks, Computer Algorithms Humans Electromyography Electrodes Calibration Gestures Hand
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sEMG-Based Hand Gesture Recognition Using Binarized Neural Network.

Sensors (Basel, Switzerland) Jan 28, 2023
Recently, human-machine interfaces (HMI) that make life convenient have been studied in many fields. In particular, a hand gesture recognition (HGR) system, which can be implemented as a wearable system, has the advantage that users can easily and in...
Recognition, Psychology Neural Networks, Computer Algorithms Humans Hand Electromyography Gestures
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Research of intent recognition in rehabilitation robots: a systematic review.

Disability and rehabilitation. Assistive technology Jan 25, 2023
PURPOSE: Rehabilitation robots with intent recognition are helping people with dysfunction to enjoy better lives. Many rehabilitation robots with intent recognition have been developed by academic institutions and commercial companies. However, there...
Electromyography Intention Exoskeleton Device Robotics Electroencephalography Rehabilitation Humans Biomechanical Phenomena
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Pleasant Stroke Touch on Human Back by a Human and a Robot.

Sensors (Basel, Switzerland) Jan 19, 2023
Pleasant touching is an important aspect of social interactions that is widely used as a caregiving technique. To address the problems resulting from a lack of available human caregivers, previous research has attempted to develop robots that can per...
Touch Touch Perception Facial Muscles Emotions Robotics Electromyography Humans
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Toward a generalizable deep CNN for neural drive estimation across muscles and participants.

Journal of neural engineering Jan 18, 2023
High-density electromyography (HD-EMG) decomposition algorithms are used to identify individual motor unit (MU) spike trains, which collectively constitute the neural code of movements, to predict motor intent. This approach has advanced from offline...
Humans Electromyography Isometric Contraction Algorithms Muscles Muscle, Skeletal Neural Networks, Computer
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On lightmyography based muscle-machine interfaces for the efficient decoding of human gestures and forces.

Scientific reports Jan 6, 2023
Conventional muscle-machine interfaces like Electromyography (EMG), have significant drawbacks, such as crosstalk, a non-linear relationship between the signal and the corresponding motion, and increased signal processing requirements. In this work, ...
Motion Muscles Hand Electromyography Humans Neural Networks, Computer Algorithms Gestures
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Leg Muscle Activity and Joint Motion during Balance Exercise Using a Newly Developed Weight-Shifting-Based Robot Control System.

International journal of environmental research and public health Jan 4, 2023
A novel and fun exercise robot (LOCOBOT) was developed to improve balance ability. This system can control a spherical robot on a floor by changing the center of pressure (COP) based on weight-shifting on a board. The present study evaluated leg musc...
Young Adult Adult Male Humans Ankle Muscle, Skeletal Electromyography Robotics Leg Postural Balance
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Electroencephalography Reflects User Satisfaction in Controlling Robot Hand through Electromyographic Signals.

Sensors (Basel, Switzerland) Dec 27, 2022
This study addresses time intervals during robot control that dominate user satisfaction and factors of robot movement that induce satisfaction. We designed a robot control system using electromyography signals. In each trial, participants were expos...
Movement Electroencephalography Humans Hand Upper Extremity Electromyography Robotics
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Neuromodulation with transcutaneous spinal stimulation reveals different groups of motor profiles during robot-guided stepping in humans with incomplete spinal cord injury.

Experimental brain research Dec 19, 2022
Neuromodulation via spinal stimulation has been investigated for improving motor function and reducing spasticity after spinal cord injury (SCI) in humans. Despite the reported heterogeneity of outcomes, few investigations have attempted to discern c...
Walking Male Spinal Cord Robotics Spinal Cord Stimulation Humans Electromyography Muscle, Skeletal Spinal Cord Injuries
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Reliability of active robotic neuro-navigated transcranial magnetic stimulation motor maps.

Experimental brain research Dec 16, 2022
Transcranial magnetic stimulation (TMS) motor mapping is a safe, non-invasive method used to study corticomotor organization and intervention-induced plasticity. Reliability of resting maps is well established, but understudied for active maps and un...
Motor Cortex Reproducibility of Results Adult Humans Muscle, Skeletal Transcranial Magnetic Stimulation Brain Mapping Electromyography Robotics Robotic Surgical Procedures Evoked Potentials, Motor
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