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Assessing the Influence of Lstm and Post-Processing in Cnn Based Hand Gesture Recognition Using Emg
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inferredcites →https://doi.org/10.1007/978-3-030-33614-1_11openalex-extracted
Real-Time Hand Gesture Recognition: A Long Short-Term Memory Approach with Electromyography
inferredcites →https://doi.org/10.1007/978-3-030-55190-2_30openalex-extracted
Effect of Analysis Window and Feature Selection on Classification of Hand Movements Using EMG Signal
inferredcites →https://doi.org/10.1007/978-3-642-58552-4_26openalex-extracted
Acquisition, Processing and Analysis of the Surface Electromyogram
inferredcites →https://doi.org/10.1007/978-981-10-4086-3_59openalex-extracted
Gesture Recognition and Machine Learning Applied to Sign Language Translation
inferredcites →https://doi.org/10.1007/s12525-021-00475-2openalex-extracted
Machine learning and deep learning
inferredcites →https://doi.org/10.1016/1050-6411(95)00015-1openalex-extracted
EMG patterns during running: Intra- and inter-individual variability
inferredcites →https://doi.org/10.1016/j.bbe.2017.11.001openalex-extracted
A bionic hand controlled by hand gesture recognition based on surface EMG signals: A preliminary study
inferredcites →https://doi.org/10.1016/j.bbe.2021.03.003openalex-extracted
Measurements comparison of finger joint angles in hand postures between an sEMG armband and a sensory glove
inferredcites →https://doi.org/10.1016/j.bbe.2022.02.005openalex-extracted
EMGHandNet: A hybrid CNN and Bi-LSTM architecture for hand activity classification using surface EMG signals
inferredcites →https://doi.org/10.1016/j.eswa.2010.09.068openalex-extracted
Feature extraction of forearm EMG signals for prosthetics
inferredcites →https://doi.org/10.1016/j.ifacol.2022.11.220openalex-extracted
EMG-based HCI Using CNN-LSTM Neural Network for Dynamic Hand Gestures Recognition
inferredcites →https://doi.org/10.1016/j.imavis.2016.06.001openalex-extracted
Comparing random forest approaches to segmenting and classifying gestures
inferredcites →https://doi.org/10.1016/j.neucom.2016.12.088openalex-extracted
An analysis of Convolutional Long Short-Term Memory Recurrent Neural Networks for gesture recognition
inferredcites →https://doi.org/10.1016/s0167-6393(98)00032-6openalex-extracted
Robust speech recognition using the modulation spectrogram
inferredcites →https://doi.org/10.1016/s1672-6529(16)60377-3openalex-extracted
Design and Myoelectric Control of an Anthropomorphic Prosthetic Hand
inferredcites →https://doi.org/10.1038/s41598-021-90688-4openalex-extracted
Intuitive real-time control strategy for high-density myoelectric hand prosthesis using deep and transfer learning
inferredcites →https://doi.org/10.1049/iet-cvi.2015.0239openalex-extracted
Enhanced hand part classification from a single depth image using random decision forests
inferredcites →https://doi.org/10.1088/1742-6596/1858/1/012075openalex-extracted
Electromyography Gesture Identification Using CNN-RNN Neural Network for Controlling Quadcopters
inferredcites →https://doi.org/10.1088/2057-1976/ac9e04openalex-extracted
Fuzzy inference system (FIS) - long short-term memory (LSTM) network for electromyography (EMG) signal analysis
inferredcites →https://doi.org/10.1109/access.2020.2979074openalex-extracted
Cross-Domain MLP and CNN Transfer Learning for Biological Signal Processing: EEG and EMG
inferredcites →https://doi.org/10.1109/cbs.2018.8612213openalex-extracted
Deep Reinforcement Learning Apply in Electromyography Data Classification
inferredcites →https://doi.org/10.1109/comsnets.2016.7439933openalex-extracted
MYO Armband for physiotherapy healthcare: A case study using gesture recognition application
inferredcites →https://doi.org/10.1109/cvpr.2015.7298594openalex-extracted
Going deeper with convolutions
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-extracted
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/etcm.2017.8247458openalex-extracted
Real-time hand gesture recognition using the Myo armband and muscle activity detection
inferredcites →https://doi.org/10.1109/icmlc.2015.7340953openalex-extracted
Intuitive muscle-gesture based robot navigation control using wearable gesture armband
inferredcites →https://doi.org/10.1109/icoin.2018.8343257openalex-extracted
Pattern recognition of human arm movement using deep reinforcement learning
inferredcites →https://doi.org/10.1109/ijcnn.2014.6889481openalex-extracted
Real-time hand gesture recognition with Kinect for playing racing video games
inferredcites →https://doi.org/10.1109/jbhi.2020.3009383openalex-extracted
Hand Gesture Recognition based on Surface Electromyography using Convolutional Neural Network with Transfer Learning Method
inferredcites →https://doi.org/10.1109/la-cci47412.2019.9036757openalex-extracted
Short-Term Hand Gesture Recognition using Electromyography in the Transient State, Support Vector Machines, and Discrete Wavelet Transform
inferredcites →https://doi.org/10.1109/memea.2014.6860134openalex-extracted
Evaluating the influence of subject-related variables on EMG-based hand gesture classification
inferredcites →https://doi.org/10.1109/tbme.1977.326175openalex-extracted
A Nonstationary Model for the Electromyogram
inferredcites →https://doi.org/10.1109/tnsre.2007.891391openalex-extracted
The Optimal Controller Delay for Myoelectric Prostheses
inferredcites →https://doi.org/10.1109/tnsre.2014.2305111openalex-extracted
The Extraction of Neural Information from the Surface EMG for the Control of Upper-Limb Prostheses: Emerging Avenues and Challenges
inferredcites →https://doi.org/10.1142/s0219843619500130openalex-extracted
EMG Pattern Recognition Using Convolutional Neural Network with Different Scale Signal/Spectra Input
inferredcites →https://doi.org/10.1145/1622176.1622208openalex-extracted
Enabling always-available input with muscle-computer interfaces
inferredcites →https://doi.org/10.1152/japplphysiol.01305.2009openalex-extracted
Is interindividual variability of EMG patterns in trained cyclists related to different muscle synergies?
inferredcites →https://doi.org/10.1152/jn.00792.2009openalex-extracted
Rectification of the EMG Signal Impairs the Identification of Oscillatory Input to the Muscle
inferredcites →https://doi.org/10.1186/1471-2105-7-91openalex-extracted
Bias in error estimation when using cross-validation for model selection
inferredcites →https://doi.org/10.1186/1743-0003-11-129openalex-extracted
Muscle synergy stability and human balance maintenance
inferredcites →https://doi.org/10.1186/s12984-021-00945-wopenalex-extracted
Long short-term memory (LSTM) recurrent neural network for muscle activity detection
inferredcites →https://doi.org/10.1251/bpo115openalex-extracted
Techniques of EMG signal analysis: detection, processing, classification and applications
inferredcites →https://doi.org/10.21437/interspeech.2017-200openalex-extracted
Efficient Emotion Recognition from Speech Using Deep Learning on Spectrograms
inferredcites →https://doi.org/10.23919/eusipco.2018.8553126openalex-extracted
Real-Time Hand Gesture Recognition Based on Artificial Feed-Forward Neural Networks and EMG
inferredcites →https://doi.org/10.23919/eusipco.2019.8903136openalex-extracted
Real-Time Hand Gesture Recognition Model Using Deep Learning Techniques and EMG Signals
inferredcites →https://doi.org/10.3389/fnbot.2016.00009openalex-extracted
Deep Learning with Convolutional Neural Networks Applied to Electromyography Data: A Resource for the Classification of Movements for Prosthetic Hands
inferredcites →https://doi.org/10.3389/fnbot.2021.692183openalex-extracted
Evaluating Convolutional Neural Networks as a Method of EEG–EMG Fusion
inferredcites →https://doi.org/10.3389/fnins.2016.00114openalex-extracted
A Novel Percutaneous Electrode Implant for Improving Robustness in Advanced Myoelectric Control
inferredcites →https://doi.org/10.3390/app10238604openalex-extracted
A User-Specific Hand Gesture Recognition Model Based on Feed-Forward Neural Networks, EMGs, and Correction of Sensor Orientation
inferredcites →https://doi.org/10.3390/app12199700openalex-extracted
LSTM Recurrent Neural Network for Hand Gesture Recognition Using EMG Signals
inferredcites →https://doi.org/10.3390/s16081341openalex-extracted
Recognition of Daily Gestures with Wearable Inertial Rings and Bracelets
inferredcites →https://doi.org/10.3390/s20092467openalex-extracted
Real-Time Hand Gesture Recognition Using Surface Electromyography and Machine Learning: A Systematic Literature Review
inferredcites →https://doi.org/10.3390/s20143879openalex-extracted
Sign Language Recognition Using Wearable Electronics: Implementing k-Nearest Neighbors with Dynamic Time Warping and Convolutional Neural Network Algorithms
inferredcites →https://doi.org/10.3390/s20216327openalex-extracted
An Energy-Based Method for Orientation Correction of EMG Bracelet Sensors in Hand Gesture Recognition Systems
inferredcites →https://doi.org/10.3390/s22249613openalex-extracted
Hand Gesture Recognition Using EMG-IMU Signals and Deep Q-Networks
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