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With today's technological advancements, mobile phones and wearable devices have become extensions of an increasingly diffused and smart digital infrastructure. In this paper, we examine mobile health (mHealth) platforms and their health…

General Economics · Economics 2021-02-18 Anindya Ghose , Xitong Guo , Beibei Li , Yuanyuan Dang

The global aging trend compels older adults to navigate the evolving digital landscape, presenting a substantial challenge in mastering smartphone applications. While Augmented Reality (AR) holds promise for enhancing learning and user…

Human-Computer Interaction · Computer Science 2024-02-08 Xiaofu Jin , Wai Tong , Xiaoying Wei , Xian Wang , Emily Kuang , Xiaoyu Mo , Huamin Qu , Mingming Fan

This systematic review examines the synergistic and individual influences of resistance exercise, dietary protein supplementation, and sleep/recovery on muscle protein synthesis (MPS). Electronic databases such as Scopus, Google Scholar,…

People are living longer than ever due to advances in healthcare, and this has prompted many healthcare providers to look towards remote patient care as a means to meet the needs of the future. It is now a priority to enable people to…

Signal Processing · Electrical Eng. & Systems 2019-10-18 Seán Quinn , Noel Murphy , Alan F. Smeaton

Promoting healthy lifestyle behaviors remains a major public health concern, particularly due to their crucial role in preventing chronic conditions such as cancer, heart disease, and type 2 diabetes. Mobile health applications present a…

Machine Learning · Computer Science 2024-05-24 Aishwarya Mandyam , Matthew Jörke , William Denton , Barbara E. Engelhardt , Emma Brunskill

Fall prevention is one of the most important components in senior care. We present a technique to augment an assistive walking device with the ability to prevent falls. Given an existing walking device, our method develops a fall predictor…

Robotics · Computer Science 2019-09-24 Visak C V Kumar , Sehoon Ha , Gergory Sawicki , C. Karen Liu

A day in the life of a person involves a broad range of activities which are common across many people. Going beyond diurnal cycles, a central question is: to what extent do individuals act according to patterns shared across an entire…

Social and Information Networks · Computer Science 2018-01-25 Anders Mollgaard , Sune Lehmann , Joachim Mathiesen

User engagement is crucial to the long-term success of a mobile app. Several metrics, such as dwell time, have been used for measuring user engagement. However, how to effectively predict user engagement in the context of mobile apps is…

Information Retrieval · Computer Science 2021-06-04 Yuan Tian , Ke Zhou , Dan Pelleg

American football is the most popular high school sport and is among the leading cause of injury among adolescents. While there has been considerable recent attention on the link between football and cognitive decline, there is also…

Applications · Statistics 2019-02-27 Timothy G. Gaulton , Sameer K. Deshpande , Dylan S. Small , Mark D. Neuman

This document introduces the PHYTMO database, which contains data from physical therapies recorded with inertial sensors, including information from an optical reference system. PHYTMO includes the recording of 30 volunteers, aged between…

Signal Processing · Electrical Eng. & Systems 2024-01-24 Sara García-de-Villa , Ana Jiménez-Martín , Juan Jesús García-Domínguez

Virtual reality (VR) is increasingly used as a platform for social interaction, including as a means for older adults to maintain engagement. However, there has been limited research to examine the features of social VR that are most…

Human-Computer Interaction · Computer Science 2022-10-10 Tong Bill Xu , Armin Mostafavi , Benjamin Kim , Angella Lee , Walter Boot , Sara Czaja , Saleh Kalantari

The aim of the present study involves designing a humanoid robot guide as a walking trainer for elderly and rehabilitation patients. The system is based on the humanoid robot Pepper with a compliance approach that allows to match the motion…

Robotics · Computer Science 2019-09-11 Fernando Garcia , Amit Kumar Pandey , Charles Fattal

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

As online educational technology products have become increasingly prevalent, rich evidence indicates that learners often find it challenging to establish regular learning habits and complete their programs. Concurrently, online products…

General Economics · Economics 2024-01-04 Keshav Agrawal , Susan Athey , Ayush Kanodia , Emil Palikot

Robot-led physical therapy (PT) offers a promising avenue to enhance the care provided by clinical exercise specialists (ES) and physical and occupational therapists to improve patients' adherence to prescribed exercises outside of a…

Socially assistive robots are increasingly being explored to improve the engagement of older adults and people with disability in health and well-being-related exercises. However, even if people have various physical conditions, most prior…

Health and fitness wearable technology has recently advanced, making it easier for an individual to monitor their behaviours. Previously self generated data interacts with the user to motivate positive behaviour change, but issues arise…

Computers and Society · Computer Science 2016-02-01 Katrin Hänsel , Natalie Wilde , Hamed Haddadi , Akram Alomainy

There has been some evidence that agility is connected to the group maturity of software development teams. This study aims at conducting group development psychology training with student teams, participating in a project course at…

Software Engineering · Computer Science 2019-04-05 Lucas Gren , Alfredo Goldman

Fitness exercises are very beneficial to personal health and fitness; however, they can also be ineffective and potentially dangerous if performed incorrectly by the user. Exercise mistakes are made when the user does not use the proper…

Computer Vision and Pattern Recognition · Computer Science 2020-06-23 Steven Chen , Richard R. Yang

We study the impact of teenage sports participation on early-adulthood health using longitudinal data from the National Study of Youth and Religion. We focus on two primary outcomes measured at ages 23--28 -- self-rated health and total…

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