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Facial expression recognition through pattern analysis of facial muscle movements utilizing electromyogram sensors
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inferred← citeshttps://doi.org/10.2139/ssrn.3347101openalex-extracted
A Machine Learning Approach for FEMG Pattern Recognition System to Control Hands-Free Wheelchair
inferred← citeshttps://doi.org/10.1007/978-3-030-70601-2_300openalex-snapshot
Recognition of Facial Patterns Using Surface Electromyography—A Preliminary Study
inferred← citeshttps://doi.org/10.1007/978-3-031-77954-1_4openalex-snapshot
Electromyography-Based Intentional-Deception Behavior Analysis in an Interactive Social Context: Statistical Analysis and Machine Learning
inferred← citeshttps://doi.org/10.1007/978-3-319-02913-9_46openalex-snapshot
Multiclass Least-Square Support Vector Machine for Myoelectric-Based Facial Gesture Recognition
inferred← citeshttps://doi.org/10.1007/978-981-13-0923-6_21openalex-snapshot
Analysis of Facial EMG Signal for Emotion Recognition Using Wavelet Packet Transform and SVM
inferred← citeshttps://doi.org/10.1007/978-981-4585-42-2_33openalex-snapshot
Comparison of Multilayer Perceptron and Radial Basis Function Neural Networks for EMG-Based Facial Gesture Recognition
inferred← citeshttps://doi.org/10.1007/s13246-011-0113-1openalex-snapshot
A novel human–machine interface based on recognition of multi-channel facial bioelectric signals
inferred← citeshttps://doi.org/10.1016/j.asoc.2015.01.034openalex-snapshot
Facial neuromuscular signal classification by means of least square support vector machine for MuCI
inferred← citeshttps://doi.org/10.1016/j.autcon.2010.10.005openalex-snapshot
Using affective human–machine interface to increase the operation performance in virtual construction crane training system: A novel approach
inferred← citeshttps://doi.org/10.1016/j.cviu.2024.103927openalex-snapshot
Enhancing image-based facial expression recognition through muscle activation-based facial feature extraction
inferred← citeshttps://doi.org/10.1016/j.smhl.2017.11.002openalex-snapshot
Machine-learning approaches for recognizing muscle activities involved in facial expressions captured by multi-channels surface electromyogram
inferred← citeshttps://doi.org/10.1080/02533839.2013.799946openalex-snapshot
Emotion recognition from facial EMG signals using higher order statistics and principal component analysis
inferred← citeshttps://doi.org/10.1109/access.2020.2983608openalex-snapshot
Real-Time Recognition of Facial Expressions Using Facial Electromyograms Recorded Around the Eyes for Social Virtual Reality Applications
inferred← citeshttps://doi.org/10.1109/cit/iucc/dasc/picom.2015.148openalex-snapshot
Facial Expression Recognition with sEMG Method
inferred← citeshttps://doi.org/10.1109/enbeng.2017.7889451openalex-snapshot
Emotional state detection based on EMG and EOG biosignals: A short survey
inferred← citeshttps://doi.org/10.1109/icnte44896.2019.8945843openalex-snapshot
Recognition of Emotion Through Facial Expressions Using EMG Signal
inferred← citeshttps://doi.org/10.1109/inecce.2011.5953903openalex-snapshot
Facial gesture recognition using two-channel bio-sensors configuration and fuzzy classifier: A pilot study
inferred← citeshttps://doi.org/10.1109/taffc.2014.2313557openalex-snapshot
Design of a Wearable Device for Reading Positive Expressions from Facial EMG Signals
inferred← citeshttps://doi.org/10.1109/taffc.2016.2569098openalex-snapshot
Robust Facial Expression Recognition for MuCI: A Comprehensive Neuromuscular Signal Analysis
inferred← citeshttps://doi.org/10.1111/exsy.12014openalex-snapshot
Electrocardiogram‐based emotion recognition system using empirical mode decomposition and discrete Fourier transform
inferred← citeshttps://doi.org/10.1142/s0219477520500418openalex-snapshot
Decoding of the Relationship between Brain and Facial Muscle Activities in Response to Dynamic Visual Stimuli
inferred← citeshttps://doi.org/10.1145/1738826.1738914openalex-snapshot
Enhancement of human computer interaction with facial electromyographic sensors
inferred← citeshttps://doi.org/10.1186/1475-925x-12-73openalex-snapshot
EMG-based facial gesture recognition through versatile elliptic basis function neural network
inferred← citeshttps://doi.org/10.1504/ijdsss.2020.10027209openalex-snapshot
A Facial EMG Data Analysis for Emotion Classification based on Spectral Kurtogram and CNN
inferred← citeshttps://doi.org/10.2147/ijn.s26619openalex-snapshot
Human facial neural activities and gesture recognition for machine-interfacing applications
inferred← citeshttps://doi.org/10.2174/0115743624273918240102060402openalex-snapshot
Framework for the Classification of Facial Emotions Using Soft Computing Techniques
inferred← citeshttps://doi.org/10.23919/spa.2019.8936818openalex-snapshot
Machine Learning for sEMG Facial Feature Characterization
inferred← citeshttps://doi.org/10.3390/s23218758openalex-snapshot
A Perifacial EMG Acquisition System for Facial-Muscle-Movement Recognition
inferred← citeshttps://doi.org/10.3390/s24113350openalex-snapshot
Portable Facial Expression System Based on EMG Sensors and Machine Learning Models
inferred← citeshttps://doi.org/10.3390/s24154785openalex-snapshot
Acquisition and Analysis of Facial Electromyographic Signals for Emotion Recognition
inferred← citeshttps://doi.org/10.3844/jcssp.2011.1407.1415openalex-snapshot
Surface Electromyography-Based Facial Expression Recognition in Bi-Polar Configuration
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