Smartphone app usage analysis: datasets, methods, and applications

T Li, T Xia, H Wang, Z Tu, S Tarkoma… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
As smartphones have become indispensable personal devices, the number of smartphone
users has increased dramatically over the last decade. These personal devices, which are …

Machine learning in mental health: A systematic review of the HCI literature to support the development of effective and implementable ML systems

A Thieme, D Belgrave, G Doherty - ACM Transactions on Computer …, 2020 - dl.acm.org
High prevalence of mental illness and the need for effective mental health care, combined
with recent advances in AI, has led to an increase in explorations of how the field of machine …

[HTML][HTML] Mental health and behavior of college students during the early phases of the COVID-19 pandemic: Longitudinal smartphone and ecological momentary …

JF Huckins, AW DaSilva, W Wang, E Hedlund… - Journal of medical …, 2020 - jmir.org
Background The vast majority of people worldwide have been impacted by coronavirus
disease (COVID-19). In addition to the millions of individuals who have been infected with …

Fedhealth: A federated transfer learning framework for wearable healthcare

Y Chen, X Qin, J Wang, C Yu, W Gao - IEEE Intelligent Systems, 2020 - ieeexplore.ieee.org
With the rapid development of computing technology, wearable devices make it easy to get
access to people's health information. Smart healthcare achieves great success by training …

A virtual market in your pocket: How does mobile augmented reality (MAR) influence consumer decision making?

H Qin, DA Peak, V Prybutok - Journal of Retailing and Consumer Services, 2021 - Elsevier
This research investigates the extent to which Mobile Augmented Reality (MAR) apps can
influence user attitudes and shopping behavior. It empirically explores user experience and …

[HTML][HTML] Stress detection in daily life scenarios using smart phones and wearable sensors: A survey

YS Can, B Arnrich, C Ersoy - Journal of biomedical informatics, 2019 - Elsevier
Stress has become a significant cause for many diseases in the modern society. Recently,
smartphones, smartwatches and smart wrist-bands have become an integral part of our lives …

Internet of things: architectures, protocols, and applications

P Sethi, SR Sarangi - Journal of electrical and computer …, 2017 - Wiley Online Library
The Internet of Things (IoT) is defined as a paradigm in which objects equipped with
sensors, actuators, and processors communicate with each other to serve a meaningful …

Smartphone sensors for health monitoring and diagnosis

S Majumder, MJ Deen - Sensors, 2019 - mdpi.com
Over the past few decades, we have witnessed a dramatic rise in life expectancy owing to
significant advances in medical science and technology, medicine as well as increased …

Natural language processing of social media as screening for suicide risk

G Coppersmith, R Leary… - Biomedical informatics …, 2018 - journals.sagepub.com
Suicide is among the 10 most common causes of death, as assessed by the World Health
Organization. For every death by suicide, an estimated 138 people's lives are meaningfully …

A review, current challenges, and future possibilities on emotion recognition using machine learning and physiological signals

PJ Bota, C Wang, ALN Fred, HP Da Silva - IEEE access, 2019 - ieeexplore.ieee.org
The seminal work on Affective Computing in 1995 by Picard set the base for computing that
relates to, arises from, or influences emotions. Affective computing is a multidisciplinary field …