Emerging wearable interfaces and algorithms for hand gesture recognition: A survey
Hands are vital in a wide range of fundamental daily activities, and neurological diseases
that impede hand function can significantly affect quality of life. Wearable hand gesture …
that impede hand function can significantly affect quality of life. Wearable hand gesture …
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 …
Open access dataset, toolbox and benchmark processing results of high-density surface electromyogram recordings
We provide an open access dataset of High densitY Surface Electromyogram (HD-sEMG)
Recordings (named “Hyser”), a toolbox for neural interface research, and benchmark results …
Recordings (named “Hyser”), a toolbox for neural interface research, and benchmark results …
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 …
Enhancing IoT security via cancelable HD-sEMG-based biometric authentication password, encoded by gesture
Enhancing information security via reliable user authentication in wireless body area
network (WBAN)-based Internet-of-Things (IoT) applications has attracted increasing …
network (WBAN)-based Internet-of-Things (IoT) applications has attracted increasing …
User-tailored hand gesture recognition system for wearable prosthesis and armband based on surface electromyogram
Surface electromyogram (sEMG)-based hand gesture recognition for prosthesis or armband
is an important application of the human–machine interface (HMI). However, the …
is an important application of the human–machine interface (HMI). However, the …
Optimization of HD-sEMG-based cross-day hand gesture classification by optimal feature extraction and data augmentation
Human–machine interaction requires accurate recognition of human intentions (eg, via hand
gestures). Here, we assessed the cross-day robustness of widely used hand gesture …
gestures). Here, we assessed the cross-day robustness of widely used hand gesture …
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 …
Recent advances in biometrics-based user authentication for wearable devices: A contemporary survey
In recent years, wearable technology is interwoven with our everyday lives because of its
commoditization and comfort. Security and privacy become a big concern as many user …
commoditization and comfort. Security and privacy become a big concern as many user …
Evaluation of decomposition parameters for high-density surface electromyogram using fast independent component analysis algorithm
The surface electromyogram (sEMG) signal reveals the electrical neuromuscular activities
and offers theoretical and clinical information. Recently, exploring motoneuron discharge …
and offers theoretical and clinical information. Recently, exploring motoneuron discharge …