Cybersecurity in neural interfaces: Survey and future trends
With the joint advancement in areas such as pervasive neural data sensing, neural
computing, neuromodulation and artificial intelligence, neural interface has become a …
computing, neuromodulation and artificial intelligence, neural interface has become a …
Signal acquisition and time–frequency perspective of EMG signal-based systems and applications
The last few decades have emerged as a remarkable era for exploring and employing
electromyography (EMG) signals and their attributes in various applications such as clinical …
electromyography (EMG) signals and their attributes in various applications such as clinical …
A new deep anomaly detection-based method for user authentication using multichannel surface EMG signals of hand gestures
User authentication plays an important role in securing systems and devices by preventing
unauthorized accesses. Although surface electromyogram (sEMG) has been widely applied …
unauthorized accesses. Although surface electromyogram (sEMG) has been widely applied …
Multi-day dataset of forearm and wrist electromyogram for hand gesture recognition and biometrics
Surface electromyography (sEMG) signals have been used for advanced prosthetics control,
hand-gesture recognition (HGR), and more recently as a novel biometric trait. For these …
hand-gesture recognition (HGR), and more recently as a novel biometric trait. For these …
Surface EMG feature disentanglement for robust pattern recognition
Extracting robust features from surface electromyogram (sEMG) for accurate pattern
recognition is a central research topic in biomechanics and human-machine interaction …
recognition is a central research topic in biomechanics and human-machine interaction …
Measuring neuromuscular electrophysiological activities to decode HD-sEMG biometrics for cross-application discrepant personal identification with unknown …
Measuring the physical, physiological, behavioral, or chemical characteristics of an
individual as biometrics for personal identification has attracted increasing attention in smart …
individual as biometrics for personal identification has attracted increasing attention in smart …
Learning non-euclidean representations with SPD manifold for myoelectric pattern recognition
How to learn informative representations from Electromyography (EMG) signals is of vital
importance for myoelectric control systems. Traditionally, hand-crafted features are extracted …
importance for myoelectric control systems. Traditionally, hand-crafted features are extracted …
Score, rank, and decision-level fusion strategies of multicode electromyogram-based verification and identification biometrics
Recent advances in biometric research have established surface electromyogram (sEMG)
as a potential spoof-free solution to address some key limitations in current biometric traits …
as a potential spoof-free solution to address some key limitations in current biometric traits …
Multi-day analysis of wrist electromyogram-based biometrics for authentication and personal identification
Recently, electromyogram (EMG) has been proposed for addressing some key limitations of
current biometrics. Wrist-worn wearable sensors can provide a non-invasive method for …
current biometrics. Wrist-worn wearable sensors can provide a non-invasive method for …
Synthetic emg based on adversarial style transfer can effectively attack biometric-based personal identification models
Biometric-based personal identification models are generally considered to be accurate and
secure because biological signals are too complex and person-specific to be fabricated, and …
secure because biological signals are too complex and person-specific to be fabricated, and …