AI-powered biometrics for Internet of Things security: A review and future vision
Biometrics is a set of advanced technologies that use the physical or behavioral
characteristics of individuals to provide reliable access control. With the rapid development …
characteristics of individuals to provide reliable access control. With the rapid development …
Surface electromyography as a natural human–machine interface: a review
Surface electromyography (sEMG) is a non-invasive method of measuring neuromuscular
potentials generated when the brain instructs the body to perform both fine and coarse …
potentials generated when the brain instructs the body to perform both fine and coarse …
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 …
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 …
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 …
A Systematic Review of IoT Security: Research Potential, Challenges, and Future Directions
W Fei, H Ohno, S Sampalli - ACM Computing Surveys, 2023 - dl.acm.org
The Internet of Things (IoT) encompasses a network of physical objects embedded with
sensors, software, and data processing technologies that can establish connections and …
sensors, software, and data processing technologies that can establish connections and …
Deepknuckle: Deep learning for finger knuckle print recognition
Biometric technology has received a lot of attention in recent years. One of the most
prevalent biometric traits is the finger-knuckle print (FKP). Because the dorsal region of the …
prevalent biometric traits is the finger-knuckle print (FKP). Because the dorsal region of the …
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 …
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 …