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Background. Wearable accelerometry devices allow collection of high-density activity data in large epidemiological studies both in-the-lab as well as in-the-wild (free-living). Such data can be used to detect and identify periods of…

Quantitative Methods · Quantitative Biology 2017-11-20 Jacek K. Urbanek , Vadim Zipunnikov , Tamara Harris , Ciprian Crainiceanu , Jaroslaw Harezlak , Nancy W. Glynn

A new class of sensing paradigm known as lab-onskin where stretchable and flexible smart sensor devices are integrated into the skin, provides direct monitoring and diagnostic interfaces to the body. Distributed lab-on-skin wireless sensors…

Networking and Internet Architecture · Computer Science 2021-06-01 Suman Kumar , Kazi Amanul Islam Siddiqui , Mukesh Kumary

Age is an essential factor in modern diagnostic procedures. However, assessment of the true biological age (BA) remains a daunting task due to the lack of reference ground-truth labels. Current BA estimation approaches are either restricted…

Computer Vision and Pattern Recognition · Computer Science 2021-05-18 Karim Armanious , Sherif Abdulatif , Wenbin Shi , Tobias Hepp , Sergios Gatidis , Bin Yang

Living systems are subject to the arrow of time; from birth, they undergo complex transformations (self-organization) in a constant battle for survival, but inevitably ageing and disease trap them to death. Can ageing be understood and…

Other Quantitative Biology · Quantitative Biology 2020-08-21 Tamàs Fülöp , Mathieu Desroches , Fernando Antônio Nóbrega Santos , Serafim Rodrigues

With the development of wearable technologies, a new kind of healthcare data has become valuable as medical information. These data provide meaningful information regarding an individual's physiological and psychological states, such as…

Machine Learning · Computer Science 2023-03-09 Berrenur Saylam , Özlem Durmaz İncel

Missing data is among the most prominent challenges in the analysis of physical activity (PA) data collected from wearable devices, with the threat of nonignorabile missingness arising when patterns of device wear relate to underlying…

Wearable devices enable theoretically continuous, longitudinal monitoring of physiological measurements like step count, energy expenditure, and heart rate. Although the classification of abnormal cardiac rhythms such as atrial fibrillation…

Signal Processing · Electrical Eng. & Systems 2020-01-28 Jessica Torres Soto , Euan Ashley

Wearable devices such as smartwatches are becoming increasingly popular tools for objectively monitoring physical activity in free-living conditions. To date, research has primarily focused on the purely supervised task of human activity…

Signal Processing · Electrical Eng. & Systems 2021-05-26 Dimitris Spathis , Ignacio Perez-Pozuelo , Soren Brage , Nicholas J. Wareham , Cecilia Mascolo

The evolutionary biology of aging is fundamental to understanding the mechanisms of aging and how to develop anti-aging treatments. Thus far most evolutionary theory concerns the genetics of aging with limited physiological integration.…

Populations and Evolution · Quantitative Biology 2025-09-22 Mirre J P Simons , Marc Tatar

There is a global aging population requiring the need for the right tools that can enable older adults' greater independence and the ability to age at home, as well as assist healthcare workers. It is feasible to achieve this objective by…

Machine Learning · Computer Science 2022-11-08 Ali Abedi , Faranak Dayyani , Charlene Chu , Shehroz S. Khan

Brain age is the estimate of biological age derived from neuroimaging datasets using machine learning algorithms. Increasing \textit{brain age gap} characterized by an elevated brain age relative to the chronological age can reflect…

Machine Learning · Computer Science 2025-01-06 Saurabh Sihag , Gonzalo Mateos , Alejandro Ribeiro

Objective: Participation in a physical therapy program is considered one of the greatest predictors of successful conservative management of common shoulder disorders. However, adherence to these protocols is often poor and typically worse…

Human-Computer Interaction · Computer Science 2018-09-10 David Burns , Nathan Leung , Michael Hardisty , Cari Whyne , Patrick Henry , Stewart McLachlin

Electrocardiogram (ECG) biometrics have emerged as a promising modality for continuous, liveness-aware authentication in wearable systems. However, many prior studies report overly optimistic results due to data leakage (e.g., random splits…

Machine Learning · Computer Science 2026-05-05 Milad Parvan

The Internet of Things (IoT) is increasingly empowering people with an interconnected world of physical objects ranging from smart buildings to portable smart devices such as wearables. With recent advances in mobile sensing, wearables have…

Cryptography and Security · Computer Science 2019-07-16 Sudip Vhaduri , Christian Poellabauer

The Internet of Things (IoT) sensors have been widely employed to capture human locomotions to enable applications such as activity recognition, human pose estimation, and fall detection. Motion capture (MoCap) systems are frequently used…

Computers and Society · Computer Science 2025-11-18 Yunkai Yu , Yingying Wang , Rong Zheng

Growing awareness of wellness has prompted people to consider whether their dietary patterns align with their health and fitness goals. In response, researchers have introduced various wearable dietary monitoring systems and dietary…

Human-Computer Interaction · Computer Science 2026-02-10 Zhihan Jiang , Running Zhao , Lin Lin , Yue Yu , Handi Chen , Xinchen Zhang , Xuhai Xu , Yifang Wang , Xiaojuan Ma , Edith C. H. Ngai

The menstrual cycle is a key indicator of overall health for women of reproductive age. Previously, menstruation was primarily studied through survey results; however, as menstrual tracking mobile apps become more widely adopted, they…

Quantitative Methods · Quantitative Biology 2020-05-18 Kathy Li , Iñigo Urteaga , Chris H. Wiggins , Anna Druet , Amanda Shea , Virginia J. Vitzthum , Noémie Elhadad

Humans, like almost all animals, are phase-locked to the diurnal cycle. Most of us sleep at night and are active through the day. Because we have evolved to function with this cycle, the circadian rhythm is deeply ingrained and even…

Physics and Society · Physics 2015-08-03 Talayeh Aledavood , Sune Lehmann , Jari Saramäki

The advent of mobile health technologies presents new challenges that existing visualizations, interactive tools, and algorithms are not yet designed to support. In dealing with uncertainty in sensor data and high-dimensional physiological…

Human-Computer Interaction · Computer Science 2016-09-28 Peter J Polack , Shang-Tse Chen , Minsuk Kahng , Kaya de Barbaro , Moushumi Sharmin , Rahul Basole , Duen Horng Chau

People's personal hygiene habits speak volumes about the condition of taking care of their bodies and health in daily lifestyle. Maintaining good hygiene practices not only reduces the chances of contracting a disease but could also reduce…