Electromyography (EMG)
15 papers with code • 0 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Electromyography (EMG)
Silent Speech EMG
Subtasks
Latest papers
Effect of prolonged use of Smartphones on neck and wrist muscle fatigue using surface EMG
Prolonged smartphone usage is prevalent among young adults in Lima, Peru, with potential implications for musculoskeletal health.
Fast and Expressive Gesture Recognition using a Combination-Homomorphic Electromyogram Encoder
New subjects only demonstrate the single component gestures and we seek to extrapolate from these to all possible single or combination gestures.
Upper Limb Movement Recognition utilising EEG and EMG Signals for Rehabilitative Robotics
Electromyography (EMG) signals and Electroencephalography (EEG) signals are used widely for upper limb movement classification.
Dreamento: an open-source dream engineering toolbox for sleep EEG wearables
We introduce Dreamento (Dream engineering toolbox), an open-source Python package for dream engineering using sleep electroencephalography (EEG) wearables.
neuro2vec: Masked Fourier Spectrum Prediction for Neurophysiological Representation Learning
Extensive data labeling on neurophysiological signals is often prohibitively expensive or impractical, as it may require particular infrastructure or domain expertise.
Towards Predicting Fine Finger Motions from Ultrasound Images via Kinematic Representation
A central challenge in building robotic prostheses is the creation of a sensor-based system able to read physiological signals from the lower limb and instruct a robotic hand to perform various tasks.
An Improved Model for Voicing Silent Speech
dgaddy/silent_speech
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ACL 2021
In this paper, we present an improved model for voicing silent speech, where audio is synthesized from facial electromyography (EMG) signals.
End-to-end grasping policies for human-in-the-loop robots via deep reinforcement learning
State-of-the-art human-in-the-loop robot grasping is hugely suffered by Electromyography (EMG) inference robustness issues.
Digital Voicing of Silent Speech
dgaddy/silent_speech
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EMNLP 2020
In this paper, we consider the task of digitally voicing silent speech, where silently mouthed words are converted to audible speech based on electromyography (EMG) sensor measurements that capture muscle impulses.
Hardware Implementation of Deep Network Accelerators Towards Healthcare and Biomedical Applications
coreylammie/TBCAS-Towards-Healthcare-and-Biomedical-Applications
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The advent of dedicated Deep Learning (DL) accelerators and neuromorphic processors has brought on new opportunities for applying both Deep and Spiking Neural Network (SNN) algorithms to healthcare and biomedical applications at the edge.
