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Mobile device use among preschool-aged children in Greece. [PDF]
Educ Inf Technol (Dordr), 2022 In the last decade, interactive touchscreen devices have become ubiquitous in young children, and toddlers first experience touchscreen technology before two.
Papadakis S, Alexandraki F, Zaranis N.
europepmc +2 more sources
Revista Română de Informatică și Automatică, 2021 Globally, the wide-range deployment of smartphones culminated in the expanded collection and sharing of massive amount of data that could be utilized in a forensic investigation as digital evidence.
Asia ALJAHDALI +4 more
doaj +2 more sources
The Influence of Mobile Device Type on Camera-Based Monitoring of Neck Movements for Cervical Rehabilitation [PDF]
Sensors, 2023 We developed a mobile application for cervical rehabilitation that uses a non-invasive camera-based head-tracker sensor for monitoring neck movements. The intended user population should be able to use the mobile application in their own mobile device ...
Maria Francesca Roig-Maimó +4 more
doaj +2 more sources
Cross-sectional associations between early mobile device usage and problematic behaviors among school-aged children in the Hokkaido Study on Environment and Children’s Health [PDF]
Environmental Health and Preventive Medicine, 2023 Background: Concerns have been raised about the adverse health impacts of mobile device usage. The objective of this cross-sectional study was to examine the association between a child’s age at the first use of a mobile device and the duration of use as
Chihiro Miyashita +8 more
doaj +2 more sources
A Survey of Privacy Vulnerabilities of Mobile Device Sensors [PDF]
ACM Computing Surveys, 2021 The number of mobile devices, such as smartphones and smartwatches, is relentlessly increasing, to almost 6.8 billion by 2022, and along with it, the amount of personal and sensitive data captured by them.
Paula Delgado-Santos +5 more
semanticscholar +1 more source
>Quality-time-complexity universal intelligence measurement [PDF]
International Journal of Crowd Science, 2018 Purpose - With development of machine learning techniques, the artificial intelligence systems such as crowd networks are becoming more and more autonomous and smart. Therefore, there is a growing demand to develop a universal intelligence measurement so
Wen Ji +5 more
doaj +3 more sources
UbiMeta: A Ubiquitous Operating System Model for Metaverse
International Journal of Crowd Science, 2023 The metaverse signifies the amalgamation of virtual and tangible realms through human-computer interaction. The seamless integration of human, cyber, and environments within ubiquitous computing plays a pivotal role in fully harnessing the metaverse’s ...
Yiqiang Chen +10 more
doaj +1 more source
Adversary Models for Mobile Device Authentication [PDF]
ACM Computing Surveys, 2020 Mobile device authentication has been a highly active research topic for over 10 years, with a vast range of methods proposed and analyzed. In related areas, such as secure channel protocols, remote authentication, or desktop user authentication, strong,
R. Mayrhofer, V. Mohan, S. Sigg
semanticscholar +1 more source
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2017 We introduce an extremely computation-efficient CNN architecture named ShuffleNet, which is designed specially for mobile devices with very limited computing power (e.g., 10-150 MFLOPs).
Xiangyu Zhang +3 more
semanticscholar +1 more source
Proceedings of the National Academy of Sciences of the United States of America, 2020 Accurately estimating human mobility and gauging its relationship with virus transmission is critical for the control of COVID-19 spreading. Using mobile device location data of over 100 million monthly active samples, we compute origin–destination ...
Chenfeng Xiong +4 more
semanticscholar +1 more source