Results 71 to 80 of about 1,600 (150)

Channel attention pyramid network for remote physiological measurement

Scientific Reports
Remote photoplethysmography (rPPG) is an emerging contactless physiological parameter detection method utilizing cameras, showing great promise as a forefront technology for remote health assessment.
Jing Zhang, Haixin Sun, Yuhao Hu, Guanghao Zhu, Fang Liu, Boyun Yan, Jiahao Pu, Xiaohui Du, Juanxiu Liu, Lin Liu, Ruqian Hao, Xingguo Wang, Yong Liu   +12 more
doaj   +1 more source

A Comprehensive Review of Deepfake Detection Techniques Utilizing Remote Photoplethysmography

IEEE Access
Deepfake technology enables the creation of highly realistic but fabricated videos, raising significant concerns about the authenticity and reliability of digital media.
Kavya Sree Kammari, Manju Khanna, Yasasree Lasya Annambhotla, Keerthi Devarajan Anuradha, Poosarla Naga Suryapadma Namrata, K. V. Nagaraja, T. V. Smitha, Tony Jan, Ganesh R. Naik   +8 more
doaj   +1 more source

Facial Emotion Recognition Method Based on Convolutional Neural Network

IET Computers &Digital Techniques, Volume 2025, Issue 1, 2025.
Facial emotion recognition has poor robustness and low recognition accuracy in complex lighting, posture changes, and occlusion scenes. This study aims to design a high‐performance convolutional neural network (CNN) model to improve the recognition accuracy and generalization ability of seven basic emotions in complex environments.
Mou Hongwei, Wang Xue, Huang Kai, Rahmat Widia Sembiring   +3 more
wiley   +1 more source

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

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

Development of a novel cuff-free method for monitoring arterial stiffness using remote photoplethysmography (rPPG)

Scientific Reports
In peripheral artery disease (PAD), monitoring of arterial stiffness is crucial as it helps in understanding and managing the condition appropriately.
Jun Hiraoka, Masato Takahashi, Takeshi Yamaguchi, Akihiro Ito, Norimichi Tsumura, Norio Iijima   +5 more
doaj   +1 more source

What Remote PPG Oximetry Tells Us about Pulsatile Volume?

Biomedicines
While pulse oximetry using remote photoplethysmography (rPPG) is used in medicine and consumer health, sound theoretical foundations for this methodology are not established.
Gennadi Saiko
doaj   +1 more source

TDA-Phys: Temporal Difference Adaptation of Video Foundation Model for Remote Photoplethysmography

Applied Sciences
Remote photoplethysmography (rPPG) enables noncontact estimation of vital signs, particularly heart rate, by analyzing subtle periodic skin color variations in facial videos.
Wei Chen, Yinghao Ding, Kunze Bu, Ming Yu, Hang Wu   +4 more
doaj   +1 more source

SigA: rPPG-based Authentication for Virtual Reality Head-mounted Display

, 2023
SigA: rPPG-based Authentication for Virtual Reality Head-mounted ...
Jun Zhang (48506), Lin Li (28817), Lei Pan (13101435), Leo Zhang (13080966), Yang Xiang (35912), Chao Chen (195669)   +5 more
core  

Contactless Pulse Rate Assessment: Results and Insights for Application in Driving Simulators

Applied Sciences
Remote photoplethysmography (rPPG) offers a promising solution for non-contact driver monitoring by detecting subtle blood flow-induced facial color changes from video. However, motion artifacts in dynamic driving environments remain key challenges. This
Đorđe D. Nešković, Kristina Stojmenova Pečečnik, Jaka Sodnik, Nadica Miljković   +3 more
doaj   +1 more source