Results 191 to 200 of about 3,566 (223)

TYrPPG: Uncomplicated and Enhanced Learning Capability rPPG for Remote Heart Rate Estimation

arXiv.org
Remote photoplethysmography (rPPG) can remotely extract physiological signals from RGB video, which has many advantages in detecting heart rate, such as low cost and no invasion to patients.
Taixi Chen, Yiu-ming Cheung
semanticscholar   +1 more source

Using Localized Facial Regions for Robust rPPG Measurement in Obstructed Visibility Environments

UbiComp Companion
In immersive virtual reality (VR) environments, real-time non-contact heart rate (HR) monitoring can enhance user experience by supporting adaptive system responses and enabling more natural human-computer interaction.
Seoyeon Lim, Heesook Shin, Yongho Lee, Younhee Gil, Seung Hyun Song, S.–Y. Dong   +5 more
semanticscholar   +1 more source

Color space analysis for improvement in rPPG

2023 International Conference for Advancement in Technology (ICONAT), 2023
Kokila Bharti Jaiswal, Mourya Choubey, Abhinav Mishra, Diksha Singh, T. Meenpal   +4 more
openaire   +1 more source

CNN living body recognition model based on rPPG

2022 4th International Conference on Image, Video and Signal Processing, 2022
Xinyi Ding, Xiao Zhang, Jinlian Du, Yuchen Liu, Fangqi Dong   +4 more
openaire   +1 more source

Hybrid CNN-BiLSTM Autoencoder for Anomaly Detection in Remote Photoplethysmography(rPPG) Signals

International journal of electrical and electronics research
Remote photoplethysmography (rPPG) is becoming increasingly popular as a non-contact method for tracking physiological parameters like heart rate and respiration rate.
Moussa Mmadi, George Kamucha, C. Maina
semanticscholar   +1 more source

Pulse wave measurement system by rPPG from human and animal soles

International Conference on Photonics Solutions
We present a non-invasive pulse-wave measurement system based on remote photoplethysmography (rPPG), which was initially developed for detecting pulse waves from the soles of rats.
Masato Takahashi, Norimichi Tsumura
semanticscholar   +1 more source

MVPD: A Multimodal Video Physiology Database for rPPG

2023 IEEE 3rd International Conference on Software Engineering and Artificial Intelligence (SEAI), 2023
Jiahe Peng, Weihua Su, Zandong Tian, Dongyuan Zang, Xiaoyu Li, Zijing Song   +5 more
openaire   +1 more source

Eulerian Magnification and Transformers for Enhanced rPPG-Based Pulse Rate Estimation in Indian Populations

2025 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)
This research focuses on pulse rate prediction using video-based remote Photoplethysmography (rPPG) techniques applied to an Indian dataset. In this study, we developed a hybrid model that integrates 3D Convolutional Neural Networks (3D CNN), Transformer
Aryan Santosh Shirke, Chinmayananda Arunachala, Nitya Tiwari, K. Nataraj   +3 more
semanticscholar   +1 more source

Restoring Morphological Features in rPPG Signals Using Generative Adversarial Networks with Time-Frequency Discriminator

International Conference on Electronics, Information and Communications
Many vital signs such as heart rate, respiratory rate, and blood oxygen level can be obtained from remote photoplethysmography (rPPG) signals, making it a useful tool for non-invasive health monitoring.
Mavlonbek Khomidov, Jong-Ha Lee
semanticscholar   +1 more source

Neural Network Interpretability for Facial rPPG Videos

2023
Yi Wu, Christoph Schmidt, Aditya Jain, Mark Nikou   +3 more
openaire   +1 more source