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Hybrid Hand Sign Recognition Based on Electrical Impedance Tomography and Force Myography

https://doi.org/10.2139/ssrn.5088025
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Outgoing claims: the papers this work cites, builds on, or argues with.

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A deep convolutional neural network model for automated identification of abnormal EEG signals
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Arrhythmia detection using deep convolutional neural network with long duration ECG signals
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Hand sign recognition from depth images with multi-scale density features for deaf mute persons
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A novel, co-located EMG-FMG-sensing wearable armband for hand gesture recognition
inferredcites →https://doi.org/10.1109/biorob.2016.7523629openalex-extracted
Towards enhanced control of upper prosthetic limbs: A force-myographic approach
inferredcites →https://doi.org/10.1109/civemsa48639.2020.9132745openalex-extracted
Surface Electrical Impedance Myography Measurements for Recognition of Numbers in American Sign Language
inferredcites →https://doi.org/10.1109/civemsa53371.2022.9853644openalex-extracted
A Hybrid Measurement System for Hand Signs Recognition based on EMG-FMG Measurements
inferredcites →https://doi.org/10.1109/embc.2015.7318926openalex-extracted
Convolutional Neural Networks for patient-specific ECG classification
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Multi-modal Prosthesis Control using sEMG, FMG and IMU Sensors
inferredcites →https://doi.org/10.1109/icaiic48513.2020.9064976openalex-extracted
1D CNN based network intrusion detection with normalization on imbalanced data
inferredcites →https://doi.org/10.1109/icit.2018.8352174openalex-extracted
Hand gesture recognition using force myography of the forearm activities and optimized features
inferredcites →https://doi.org/10.1109/iscas.2018.8351296openalex-extracted
Towards a High Accuracy Wearable Hand Gesture Recognition System Using EIT
inferredcites →https://doi.org/10.1109/jbhi.2019.2945593openalex-extracted
Development of a Wearable Electrical Impedance Tomographic Sensor for Gesture Recognition With Machine Learning
inferredcites →https://doi.org/10.1109/jbhi.2022.3194017openalex-extracted
A Novel PPG-FMG-ACC Wristband for Hand Gesture Recognition
inferredcites →https://doi.org/10.1109/jeeit58638.2023.10185697openalex-extracted
Features Selection for Force Myography Based Hand Gesture Recognition
inferredcites →https://doi.org/10.1109/jsen.2020.3022899openalex-extracted
Multi-Frequency Impedance Myography: The PhaseX Effect
inferredcites →https://doi.org/10.1109/jsen.2021.3130982openalex-extracted
Hand Sign Recognition System Based on EIT Imaging and Robust CNN Classification
inferredcites →https://doi.org/10.1109/jsen.2021.3138386openalex-extracted
A Novel Hybrid Approach to Pattern Recognition of Finger Movements and Grasping Gestures in Upper Limb Amputees
inferredcites →https://doi.org/10.1109/lsens.2021.3081689openalex-extracted
Wearable Smart Band for American Sign Language Recognition With Polymer Carbon Nanocomposite-Based Pressure Sensors
inferredcites →https://doi.org/10.1109/rbme.2020.3019769openalex-extracted
Wearable Sensor-Based Sign Language Recognition: A Comprehensive Review
inferredcites →https://doi.org/10.1109/ssd.2019.8893179openalex-extracted
Muscle Movement Tracking Using Nanocomposite Based Pressure Sensor
inferredcites →https://doi.org/10.1109/ssd.2019.8893236openalex-extracted
Electronic Motion Capture Glove based on Highly Sensitive Nanocomposite Sensors
inferredcites →https://doi.org/10.1109/ssd52085.2021.9429514openalex-extracted
Hand Gesture Recognition Based on Force Myography Measurements using KNN Classifier
inferredcites →https://doi.org/10.1109/tbcas.2018.2878395openalex-extracted
A Human–Machine Interface Using Electrical Impedance Tomography for Hand Prosthesis Control
inferredcites →https://doi.org/10.1109/tcsii.2020.3006430openalex-extracted
Hand Gesture Recognition Using Three-Dimensional Electrical Impedance Tomography
inferredcites →https://doi.org/10.1109/thms.2023.3287594openalex-extracted
A Layered sEMG–FMG Hybrid Sensor for Hand Motion Recognition From Forearm Muscle Activities
inferredcites →https://doi.org/10.1145/2858036.2858093openalex-extracted
EMPress
inferredcites →https://doi.org/10.1145/2984511.2984574openalex-extracted
Advancing Hand Gesture Recognition with High Resolution Electrical Impedance Tomography
inferredcites →https://doi.org/10.18421/tem93-14openalex-extracted
A Real-Time American Sign Language Recognition System using Convolutional Neural Network for Real Datasets
inferredcites →https://doi.org/10.18494/sam.2018.1790openalex-extracted
Real-time Hand Gesture Recognition System and Application
inferredcites →https://doi.org/10.3389/fnbot.2016.00017openalex-extracted
Assessment of a Wearable Force- and Electromyography Device and Comparison of the Related Signals for Myocontrol
inferredcites →https://doi.org/10.3389/fnbot.2019.00114openalex-extracted
A Piezoresistive Array Armband With Reduced Number of Sensors for Hand Gesture Recognition
inferredcites →https://doi.org/10.3390/app9163355openalex-extracted
Fast Emotion Recognition Based on Single Pulse PPG Signal with Convolutional Neural Network
inferredcites →https://doi.org/10.3390/app9183790openalex-extracted
Non-Touch Sign Word Recognition Based on Dynamic Hand Gesture Using Hybrid Segmentation and CNN Feature Fusion
inferredcites →https://doi.org/10.3390/s18072208openalex-extracted
A Review on Systems-Based Sensory Gloves for Sign Language Recognition State of the Art between 2007 and 2017
inferredcites →https://doi.org/10.3390/s20174775openalex-extracted
An Ultra-Sensitive Modular Hybrid EMG–FMG Sensor with Floating Electrodes
inferredcites →https://doi.org/10.3390/s20185151openalex-extracted
British Sign Language Recognition via Late Fusion of Computer Vision and Leap Motion with Transfer Learning to American Sign Language
inferredcites →https://doi.org/10.35940/ijrte.d6801.118419openalex-extracted
Enhancing Prediction of Prosthetic Fingers Movement Based on sEMG using Mixtures of Features and Random Forest
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