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Found 14 papers, 2 papers with code
Evaluation of Video-Based rPPG in Challenging Environments: Artifact Mitigation and Network Resilience
Video-based remote photoplethysmography (rPPG) has emerged as a promising technology for non-contact vital sign monitoring, especially under controlled conditions.
Ray Launching-Based Computation of Exact Paths with Noisy Dense Point Clouds
It is observed that the proposed method is capable of adapting to noise and finds similar paths compared to the baseline path trajectories with noisy point clouds.
A Ray Launching Approach for Computing Exact Paths with Point Clouds
Ray tracing is a deterministic method that produces propagation paths between a transmitter and a receiver.
Multi-objective Feature Selection in Remote Health Monitoring Applications
Radio frequency (RF) signals have facilitated the development of non-contact human monitoring tasks, such as vital signs measurement, activity recognition, and user identification.
Non-contact Multimodal Indoor Human Monitoring Systems: A Survey
In this context, we present a comprehensive survey of multimodal approaches for indoor human monitoring systems, with a specific focus on their relevance in elderly care.
Facial Kinship Verification from remote photoplethysmography
Specifically, in this paper, we employed a straightforward one-dimensional Convolutional Neural Network (1DCNN) with a 1DCNN-Attention module and kinship contrastive loss to learn the kin similarity from rPPGs.
Estimating exercise-induced fatigue from thermal facial images
Exercise-induced fatigue resulting from physical activity can be an early indicator of overtraining, illness, or other health issues.
Respiratory Disease Classification and Biometric Analysis Using Biosignals from Digital Stethoscopes
For the first time, this work introduces regression models capable of estimating age and body mass index (BMI) based solely on acoustic data, as well as a model for sex classification.
Non-Contact Heart Rate Measurement from Deteriorated Videos
Remote photoplethysmography (rPPG) offers a state-of-the-art, non-contact methodology for estimating human pulse by analyzing facial videos.
Improving Depression estimation from facial videos with face alignment, training optimization and scheduling
Deep learning models have shown promising results in recognizing depressive states using video-based facial expressions.
Depression Recognition using Remote Photoplethysmography from Facial Videos
Depression is a mental illness that may be harmful to an individual's health.
Video2IMU: Realistic IMU features and signals from videos
In our work, we propose the use of neural networks for the generation of realistic signals and features using human activity monocular videos.
Face2PPG: An unsupervised pipeline for blood volume pulse extraction from faces
Photoplethysmography (PPG) signals have become a key technology in many fields, such as medicine, well-being, or sports.
Kinship Verification from Videos using Spatio-Temporal Texture Features and Deep Learning
Automatic kinship verification using facial images is a relatively new and challenging research problem in computer vision.
