Results 41 to 50 of about 14,206 (244)

Transducers Across Scales and Frequencies: A System‐Level Framework for Multiphysics Integration and Co‐Design

Advanced Materials Technologies, EarlyView.
Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu, Mengyao Xiao, Zhouli Sui, Yinpeng Wang, Daoye Zheng, Yuxin Liu, Luwei Wang, Huajun Liu, Chengkuo Lee   +8 more
wiley   +1 more source

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

Sensors, 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, Ibrahim N. Alquaydheb, Fadi Kurdahi, Roger Piqueras Jover, Ahmed Eltawil   +4 more
doaj   +1 more source

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

Advanced 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, Andrew Akerson, Ehsan Hajiesmaili, Tianshu Liu, Ryan Stull, Jonathan Stewart, Amirhossein Amini   +6 more
wiley   +1 more source

Brainprint based on functional connectivity and asymmetry indices of brain regions: A case study of biometric person identification with non‐expensive electroencephalogram headsets

IET Biometrics, 2023
Brain‐computer interface applications for biometric person identification have increased their interest in recent years since they are potentially more secure and more difficult to counterfeit than traditional biometric techniques.
Jordan Ortega‐Rodríguez, Kevin Martín‐Chinea, José Francisco Gómez‐González, Ernesto Pereda   +3 more
doaj   +1 more source

Deep Contrastive Learning-Based Model for ECG Biometrics

Applied 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, Rami M. Jomaa, Md Saiful Islam, Yakoub Bazi, Haikel Alhichri, Naif Alajlan   +5 more
doaj   +1 more source

Person re-identification using soft biometrics

Signal, Image and Video Processing, 2023
Abstract Pedestrian characteristics like bags, gender, clothes, or short hair might affect in identifying people in video surveillance. Due to variation in poses, illumination, background, and camera views, the fundamental problem in pedestrian attribute detection is the significant variation in visual manifestation and position of attributes ...
Fouaze Moussi, Abdelmalik Ouamane, Abdelkrim Ouafi   +2 more
openaire   +1 more source

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

Advanced 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, Sang Won Lee, Mohammad Abrar Uddin, Sina Hassanpoor, Neha Suvindran, Katherine Le, Harun Arkaz, Harishkumar Narayana, Saeid Soltanian, Danial Khorsandi, Negar Hosseinzadeh Kouchehbaghi, Taeil Kim, Yangzhi Zhu   +12 more
wiley   +1 more source

Biometric identification of newborns and infants by non-contact fingerprinting: lessons learned [version 1; peer review: 2 approved, 1 approved with reservations]

Gates Open Research, 2019
Despite years of effort, reliable biometric identification of newborns and young children has remained elusive. In this paper, we review the importance of trusted identification methods, the biometric landscape for infants and adults, barriers and ...
Steven Saggese, Yunting Zhao, Tom Kalisky, Courtney Avery, Deborah Forster, Lilia Edith Duarte-Vera, Lucila Alejandra Almada-Salazar, Daniel Perales-Gonzalez, Alexandra Hubenko, Michael Kleeman, Enrique Chacon-Cruz, Eliah Aronoff-Spencer   +11 more
doaj   +1 more source

Fabric‐Based Wearable Robotic Exoskeleton Gloves: Advancements and Challenges

Advanced Materials Technologies, EarlyView.
This review highlights interdisciplinary technological advances in fabric‐based robotic gloves, focusing on progress in design, fabrication, actuation, sensing, control, and power and energy requirements. It also addresses performance testing and validation, including biomechanical, strength, functional, user experience, and durability assessments, to ...
Ayse Feyza Yilmaz, Gökhan Ince, Ozgur Atalay   +2 more
wiley   +1 more source

Biometric data as a tool for remote personal identification

RUDN Journal of Law
The article examines biometric data as a tool for remote identification. Biometric data, including voice recording, fingerprints, retinal scans, and otheridentities, hold special significance because they enable the accurate establishment of a person's ...
Dmitry S. Zaporozhtsev
doaj   +1 more source