no code implementations • 2 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.
no code implementations • 10 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.
no code implementations • 11 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.
no code implementations • 14 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.
no code implementations • 12 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.
no code implementations • 12 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.
no code implementations • 28 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.
no code implementations • 13 Dec 2022 • Manuel Lage Cañellas, Constantino Álvarez Casado, Le Nguyen, Miguel Bordallo López
Deep learning models have shown promising results in recognizing depressive states using video-based facial expressions.
no code implementations • 9 Jun 2022 • Constantino Álvarez Casado, Manuel Lage Cañellas, Miguel Bordallo López
Depression is a mental illness that may be harmful to an individual's health.
no code implementations • 14 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.
no code implementations • 8 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.