Results 51 to 60 of about 3,116,601 (343)

Image-Based Somatotype as a Biometric Trait for Non-Collaborative Person Recognition at a Distance and On-The-Move

open access: yesSensors, 2020
It has recently been shown in Re-Identification (Re-ID) work that full-body images of people reveal their somatotype, even after change in apparel. A significant advantage of this biometric trait is that it can easily be captured, even at a distance, as ...
Antonios Danelakis, Theoharis Theoharis
doaj   +1 more source

Project SEARCH (Scanning EARs for Child Health): validating an ear biometric tool for patient identification in Zambia [version 1; peer review: 2 approved]

open access: yesGates Open Research, 2020
Patient identification in low- to middle-income countries is one of the most pressing public health challenges of our day. Given the ubiquity of mobile phones, their use for health-care coupled with a biometric identification method, present a unique ...
Lauren Etter   +9 more
doaj   +1 more source

Convolutional Neural Network Approach Based on Multimodal Biometric System with Fusion of Face and Finger Vein Features

open access: yesSensors, 2022
In today’s information age, how to accurately identify a person’s identity and protect information security has become a hot topic of people from all walks of life.
Yang Wang, Dekai Shi, Weibin Zhou
doaj   +1 more source

EEG-based biometric identification using frequency-weighted power feature

open access: yesIET Biometrics, 2020
The brain activity of a person sensed using electroencephalograph (EEG) has a unique neuronal signature consisting of relevant subject-specific information, which can be used for biometric identification.
Jijomon Chettuthara Monsy   +1 more
semanticscholar   +1 more source

Fuzzy Extractors for Biometric Identification

open access: yes2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS), 2017
Fuzzy extractor provides key generation from biometrics and other noisy data. The generated key is seamlessly usable for any cryptographic applications because its information entropy is sufficient for security. Biometric authentication offers natural and passwordless user authentication in various systems where fuzzy extractors can be used for ...
Nan Li 0007   +4 more
openaire   +2 more sources

Passive Shape‐Adaptive Fluidic Interface for Enhanced Skin‐Sensor Coupling in Wearable Devices

open access: yesAdvanced Materials Technologies, EarlyView.
This study presents a passive fluidic interface for wearable biosensors that adapts to static and dynamic body shape changes to maintain consistent skin contact. Flexible, fluid‐filled pouches redistribute pressure from high‐load areas to regions requiring improved contact, enhancing signal quality and comfort in a compact, low‐energy design for ...
Natalia Sanchez‐Tamayo   +6 more
wiley   +1 more source

Biometric identification technologies and the Ghanaian ‘data revolution’

open access: yesThe Journal of Modern African Studies, 2020
In the global effort to strengthen national identification systems (SDG 16.9), biometric identification technologies and civil registration systems have been associated with different motives and applications, thus fuelling their competition for public ...
A. Thiel
semanticscholar   +1 more source

Smart Closed‐Loop Systems in Personalized Healthcare: Advances and Outlook

open access: yesAdvanced Materials Technologies, EarlyView.
A smart closed‐loop e‐textile integrates multimodal sensing, onboard processing, wireless communication, and wearable power to enable real‐time physiological/biochemical monitoring and feedback‐controlled therapy. ABSTRACT Smart textiles represent a revolutionary frontier in healthcare, seamlessly blending fabric and advanced technologies to create ...
Safoora Khosravi   +12 more
wiley   +1 more source

Biometric Identity Based on Intra-Body Communication Channel Characteristics and Machine Learning

open access: yesSensors, 2020
In this paper, we propose and validate using the Intra-body communications channel as a biometric identity. Combining experimental measurements collected from five subjects and two multi-layer tissue mimicking materials’ phantoms, different machine
Ahmed E. Khorshid   +4 more
doaj   +1 more source

Deep Contrastive Learning-Based Model for ECG Biometrics

open access: yesApplied Sciences, 2023
The electrocardiogram (ECG) signal is shown to be promising as a biometric. To this end, it has been demonstrated that the analysis of ECG signals can be considered as a good solution for increasing the biometric security levels.
Nassim Ammour   +5 more
doaj   +1 more source

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