Search Results for author: Constantino Álvarez Casado

Found 11 papers, 0 papers with code

Evaluation of Video-Based rPPG in Challenging Environments: Artifact Mitigation and Network Resilience

no code implementations2 May 2024 Nhi Nguyen, Le Nguyen, Honghan Li, Miguel Bordallo López, Constantino Álvarez Casado

Video-based remote photoplethysmography (rPPG) has emerged as a promising technology for non-contact vital sign monitoring, especially under controlled conditions.

Denoising

Multi-objective Feature Selection in Remote Health Monitoring Applications

no code implementations10 Jan 2024 Le Ngu Nguyen, Constantino Álvarez Casado, Manuel Lage Cañellas, Anirban Mukherjee, Nhi Nguyen, Dinesh Babu Jayagopi, Miguel Bordallo López

Radio frequency (RF) signals have facilitated the development of non-contact human monitoring tasks, such as vital signs measurement, activity recognition, and user identification.

Activity Recognition feature selection

Non-contact Multimodal Indoor Human Monitoring Systems: A Survey

no code implementations11 Dec 2023 Le Ngu Nguyen, Praneeth Susarla, Anirban Mukherjee, Manuel Lage Cañellas, Constantino Álvarez Casado, Xiaoting Wu, Olli~Silvén, Dinesh Babu Jayagopi, Miguel Bordallo López

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.

Survey

Facial Kinship Verification from remote photoplethysmography

no code implementations14 Sep 2023 Xiaoting Wu, Xiaoyi Feng, Constantino Álvarez Casado, Lili Liu, Miguel Bordallo López

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.

Kinship Verification

Estimating exercise-induced fatigue from thermal facial images

no code implementations12 Sep 2023 Manuel Lage Cañellas, Constantino Álvarez Casado, Le Nguyen, Miguel Bordallo López

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

no code implementations12 Sep 2023 Constantino Álvarez Casado, Manuel Lage Cañellas, Matteo Pedone, Xiaoting Wu, Le Nguyen, Miguel Bordallo López

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.

Binary Classification Classification +2

Non-Contact Heart Rate Measurement from Deteriorated Videos

no code implementations28 Apr 2023 Nhi Nguyen, Le Nguyen, Constantino Álvarez Casado, Olli Silvén, Miguel Bordallo López

Remote photoplethysmography (rPPG) offers a state-of-the-art, non-contact methodology for estimating human pulse by analyzing facial videos.

Denoising Heart rate estimation

Video2IMU: Realistic IMU features and signals from videos

no code implementations14 Feb 2022 Arttu Lämsä, Jaakko Tervonen, Jussi Liikka, Constantino Álvarez Casado, Miguel Bordallo López

In our work, we propose the use of neural networks for the generation of realistic signals and features using human activity monocular videos.

Human Activity Recognition

Face2PPG: An unsupervised pipeline for blood volume pulse extraction from faces

no code implementations8 Feb 2022 Constantino Álvarez Casado, Miguel Bordallo López

Photoplethysmography (PPG) signals have become a key technology in many fields, such as medicine, well-being, or sports.

Photoplethysmography (PPG)

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