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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 …
Forearm sEMG data from young healthy humans during the execution of hand movements
This work provides a complete dataset containing surface electromyography (sEMG) signals
acquired from the forearm with a sampling frequency of 1000 Hz. The dataset is named …
acquired from the forearm with a sampling frequency of 1000 Hz. The dataset is named …
Spatiotemporal modeling of multivariate signals with graph neural networks and structured state space models
S Tang, J Dunnmon, L Qu, KK Saab, C Lee-Messer… - 2022 - openreview.net
Multivariate signals are prevalent in various domains, such as healthcare, transportation
systems, and space sciences. Modeling spatiotemporal dependencies in multivariate …
systems, and space sciences. Modeling spatiotemporal dependencies in multivariate …
Contaminated Multivariate Time-Series Anomaly Detection with Spatio-Temporal Graph Conditional Diffusion Models
Mainstream unsupervised anomaly detection algorithms often excel in academic datasets,
yet their real-world performance is restricted due to the controlled experimental conditions …
yet their real-world performance is restricted due to the controlled experimental conditions …
[PDF][PDF] Electromyography-based Biometrics for Secure and Robust Personal Identification and Authentication
A Pradhan - 2024 - uwspace.uwaterloo.ca
Abstract Recently, electromyogram (EMG), the electrical activity of skeletal muscles, has
been proposed as a novel biometric trait to address the limitations of current biometrics …
been proposed as a novel biometric trait to address the limitations of current biometrics …
[كتاب][B] Improving Deep Learning for Medical Time Series Data by Modeling Multidimensional Dependencies
S Tang - 2023 - search.proquest.com
Time series data are prevalent in many medical domains. Two major types of medical time
series data are (a) biosignals and (b) longitudinal electronic health record (EHR) data …
series data are (a) biosignals and (b) longitudinal electronic health record (EHR) data …