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Mindfulness training is widely recognized for its benefits in reducing depression, anxiety, and loneliness. With the rise of smartphone-based mindfulness apps, digital meditation has become more accessible, but sustaining long-term user…

As the number of smart devices that surround us increases, so do the opportunities to leverage them to create socially- and context-aware systems. Smart devices can be used for better understanding human behaviour and its societal…

Human-Computer Interaction · Computer Science 2022-07-06 J. Fernandes , J. Sá Silva , A. Rodrigues , F. Boavida , R. Gaspar , C. Godinho , R. Francisco

Telehealth has the potential to offset the high demand for help during public health emergencies, such as the COVID-19 pandemic. Remote Photoplethysmography (rPPG) - the problem of non-invasively estimating blood volume variations in the…

Computers and Society · Computer Science 2021-09-23 Ambareesh Revanur , Zhihua Li , Umur A. Ciftci , Lijun Yin , Laszlo A. Jeni

Accurate dietary monitoring is essential for promoting healthier eating habits. A key area of research is how people interact and consume food using utensils and hands. By tracking their position and orientation, it is possible to estimate…

Computer Vision and Pattern Recognition · Computer Science 2025-05-06 Kevin Tan , Fan Yang , Yuhao Chen

The novel Corona virus pandemic is one of the biggest worldwide problems right now. While hygiene and wearing masks make up a large portion of the currently suggested precautions by the Centers for Disease Control and Prevention (CDC) and…

Computers and Society · Computer Science 2021-11-08 Sukru Yaren Gelbal , Mustafa Ridvan Cantas , Bilin Aksun-Guvenc , Levent Guvenc

The COVID-19 pandemic underscored the importance of reliable, noninvasive diagnostic tools for robust public health interventions. In this work, we fused magnetic respiratory sensing technology (MRST) with machine learning (ML) to create a…

The availability of SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) virus data post-COVID has reached exponentially to an enormous magnitude, opening research doors to analyze its behavior. Various studies are conducted by…

Neural and Evolutionary Computing · Computer Science 2025-01-28 Taslim Murad , Prakash Chourasia , Sarwan Ali , Imdad Ullah Khan , Murray Patterson

The COVID-19 virus has caused a global pandemic since March 2020. The World Health Organization (WHO) has provided guidelines on how to reduce the spread of the virus and one of the most important measures is social distancing. Maintaining…

Computer Vision and Pattern Recognition · Computer Science 2021-06-21 Mert Seker , Anssi Männistö , Alexandros Iosifidis , Jenni Raitoharju

Diabetes is a chronicle disease where the body of a human is irregular to dissolve the blood glucose properly. The diabetes is due to lack of insulin in human body. The continuous monitoring of blood glucose is main important aspect for…

Medical Physics · Physics 2021-06-10 Prateek Jain , Amit M. Joshi , Saraju Mohanty

Contact tracing is an essential tool in slowing and containing outbreaks of contagious diseases. Current contact tracing methods range from interviews with public health personnel to Bluetooth pings from smartphones. While all methods offer…

Methodology · Statistics 2024-12-17 K. J. Patten

Respiratory symptoms can be a caused by different underlying conditions, and are often caused by viral infections, such as Influenza-like illnesses or other emerging viruses like the Coronavirus. These respiratory viruses, often, have…

Signal Processing · Electrical Eng. & Systems 2020-07-02 Abdelkader Nasreddine Belkacem , Sofia Ouhbi , Abderrahmane Lakas , Elhadj Benkhelifa , Chao Chen

Camera-based physiological measurement is a fast growing field of computer vision. Remote photoplethysmography (rPPG) utilizes imaging devices (e.g., cameras) to measure the peripheral blood volume pulse (BVP) via photoplethysmography, and…

Computer Vision and Pattern Recognition · Computer Science 2023-11-28 Xin Liu , Girish Narayanswamy , Akshay Paruchuri , Xiaoyu Zhang , Jiankai Tang , Yuzhe Zhang , Soumyadip Sengupta , Shwetak Patel , Yuntao Wang , Daniel McDuff

Visible-light cameras can capture subtle physiological biomarkers without physical contact with the subject. We present the Multi-Site Physiological Monitoring (MSPM) dataset, which is the first dataset collected to support the study of…

Computer Vision and Pattern Recognition · Computer Science 2024-02-06 Jeremy Speth , Nathan Vance , Benjamin Sporrer , Lu Niu , Patrick Flynn , Adam Czajka

Remote estimation of vital signs enables health monitoring for situations in which contact-based devices are either not available, too intrusive, or too expensive. In this paper, we present a modular, interpretable pipeline for pulse signal…

Computer Vision and Pattern Recognition · Computer Science 2025-03-24 Vineet R. Shenoy , Shaoju Wu , Armand Comas , Tim K. Marks , Suhas Lohit , Hassan Mansour

Subtle periodic signals, such as blood volume pulse and respiration, can be extracted from RGB video, enabling noncontact health monitoring at low cost. Advancements in remote pulse estimation -- or remote photoplethysmography (rPPG) -- are…

Computer Vision and Pattern Recognition · Computer Science 2024-04-23 Jeremy Speth , Nathan Vance , Patrick Flynn , Adam Czajka

This study evaluates remote Photopletismography (rPPG) algorithms, Spatial Subspace Rotation (2SR), Chrominance-based method (CHROM), Plane-Orthogonal-to-Skin (POS), and Principal Component Analysis (PCA), applied to selected…

Image and Video Processing · Electrical Eng. & Systems 2026-05-26 Đorđe D. Nešković , Nadica Miljković

During the SARS-Cov-2 pandemic, mask-wearing became an effective tool to prevent spreading and contracting the virus. The ability to monitor the mask-wearing rate in the population would be useful for determining public health strategies…

Computer Vision and Pattern Recognition · Computer Science 2022-10-06 Benjaphan Sommana , Ukrit Watchareeruetai , Ankush Ganguly , Samuel W. F. Earp , Taya Kitiyakara , Suparee Boonmanunt , Ratchainant Thammasudjarit

People are increasingly concerned with understanding their personal environment, including possible exposure to harmful air pollutants. In order to make informed decisions on their day-to-day activities, they are interested in real-time…

We describe the design, construction and characterisation of paper based devices to perform spirometry, a standard test for lung function assessment. In this device the instantaneous flowrate of the incoming breath from a person gets…

Signal Processing · Electrical Eng. & Systems 2024-08-20 Yatin Miglani , Muddukrishna P , Harshvardhan Pande , Manoj M. Varma , Bhushan Toley

Continuous monitoring of human vital signs using non-contact mmWave radars is attractive due to their ability to penetrate garments and operate under different lighting conditions. Unfortunately, most prior research requires subjects to…

Signal Processing · Electrical Eng. & Systems 2023-03-27 Bo Zhang , Boyu Jiang , Rong Zheng , Xiaoping Zhang , Jun Li , Qiang Xu