Results 81 to 90 of about 2,568 (189)

Learning Discriminative Palmprint Anti‐Spoofing Features via High‐Frequency Spoofing Regions Adaptation

IET Image Processing, Volume 19, Issue 1, January/December 2025.
This paper proposes a palmprint image processing algorithm based on grey‐level co‐occurrence matrix and attention mechanism to extract deception patterns in fake images. Extensive experiments against several state‐of‐the‐art algorithms in closed‐set, open‐set and cross‐domain recognition settings validate the effectiveness of the proposed algorithm ...
Chengcheng Liu, Huikai Shao, Dexing Zhong   +2 more
wiley   +1 more source

Estimating Carotid Pulse and Breathing Rate from Near-infrared Video of the Neck

, 2018
Objective: Non-contact physiological measurement is a growing research area that allows capturing vital signs such as heart rate (HR) and breathing rate (BR) comfortably and unobtrusively with remote devices.
Chen, Weixuan, Hernandez, Javier, Picard, Rosalind W.   +2 more
core   +1 more source

Evaluation of recrosslinkable preformed particle gel (RPPG) as a fluid loss control material during drilling operations [PDF]

, 2022
One of the most intense, expensive, and time-consuming problems during drilling operations is the loss of circulation, which could result in several consequences, including wellbore collapse, fluid inflow, formation damage, environmental issues, and ...
Ahdaya, Mohamed Saad M.
core   +1 more source

Contactless Health Monitoring: An Overview of Video‐Based Techniques Utilising Machine/Deep Learning

IET Wireless Sensor Systems, Volume 15, Issue 1, January/December 2025.
This review article presents a comprehensive examination of contactless health monitoring techniques utilising machine learning (ML) and deep learning (DL) algorithms for the assessment of critical vital signs. ABSTRACT Vital signs are crucial indicators of an individual's physiological well‐being and represent one of the primary evaluations conducted ...
Alaa Hajr, Bahram Tarvirdizadeh, Khalil Alipour, Mohammad Ghamari   +3 more
wiley   +1 more source

RhythmFormer: Extracting patterned rPPG signals based on periodic sparse attention

Pattern Recognition
Remote photoplethysmography (rPPG) is a non-contact method for detecting physiological signals based on facial videos, holding high potential in various applications. Due to the periodicity nature of rPPG signals, the long-range dependency capturing capacity of the transformer was assumed to be advantageous for such signals.
Bochao Zou, Zizheng Guo, Jiansheng Chen, Junbao Zhuo, Weiran Huang, Huimin Ma   +5 more
openaire   +2 more sources

Determining the minimal important change of the recap of atopic eczema (RECAP) instrument in clinical trials

Skin Health and Disease, Volume 4, Issue 6, December 2024.
Abstract Background The Recap of atopic eczema (RECAP) is a patient‐reported instrument designed to assess eczema control. There is a lack of evidence on the interpretability of change scores in clinical trials. Objectives To calculate the smallest detectable change (SDC) in RECAP and estimate the minimal important change (MIC) for RECAP using various ...
Arabella Baker, Beth Stuart, Laura Howells, Eleanor J. Mitchell, Kim S. Thomas   +4 more
wiley   +1 more source

Should left‐ and right‐sided unilateral cleft lip and palate patients be grouped together when reporting the outcomes?

Orthodontics &Craniofacial Research, Volume 27, Issue S1, Page 49-61, June 2024.
Abstract Objectives Investigate associations between cleft laterality in patients with non‐syndromic unilateral cleft lip and palate (UCLP) and oral‐health, dental‐arch, speech, audiological, psychological and nasolabial‐aesthetic outcomes. Methods Secondary data analysis of the outcomes of 5‐year‐old children with non‐syndromic complete UCLP ...
Manar Al‐Hassani, Peter Fowler, Yvonne Wren, Sam Leary, Amy Davies   +4 more
wiley   +1 more source

A Wearable Bracelet for Simultaneous Monitoring of Transcutaneous Carbon Dioxide and Pulse Rates

Advanced Electronic Materials, Volume 10, Issue 5, May 2024.
This study introduces a wearable bracelet that simultaneously detects transcutaneous carbon dioxide and pulse rate, which serves as crucial biochemical and biophysical signals for chronic disease patients. The wearable bracelet exhibits exceptional sensitivity, selectivity, and anti‐humidity interference.
Yaoxuan Cui, Qingpeng Cao, Xubin Zheng, Hao Dong, Jin Wang, Feng Xu, Libin Qian, Di Wang   +7 more
wiley   +1 more source

Dedicated Exposure Control for Remote Photoplethysmography

IEEE Access, 2020
This paper aims to show that control of exposure time during video capture will improve the accuracy of remote photoplethysmography (rPPG). We propose a purpose specific exposure control algorithm for use in heart rate estimation via rPPG applicable for ...
Jordan Laurie, Niall Higgins, Thierry Peynot, Jonathan Roberts   +3 more
doaj   +1 more source

Deep convolutional neural networks for face and iris presentation attack detection: Survey and case study

, 2020
Biometric presentation attack detection is gaining increasing attention. Users of mobile devices find it more convenient to unlock their smart applications with finger, face or iris recognition instead of passwords.
El-Din, Yomna Safaa, Mahdi, Hani, Moustafa, Mohamed N.   +2 more
core   +1 more source