Beattie, Zachary Miller, Lyndsey M. Almirola, Carlos Au-Yeung, Wan-Tai M. Bernard, Hannah Cosgrove, Kevin E. Dodge, Hiroko H. Gamboa, Charlene J. Golonka, Ona Gothard, Sarah
...
Published in
Digital Biomarkers
Introduction: Future digital health research hinges on methodologies to conduct remote clinical assessments and in-home monitoring. The Collaborative Aging Research Using Technology (CART) initiative was introduced to establish a digital technology research platform that could widely assess activity in the homes of diverse cohorts of older adults a...
Radgohar, Homa Vahdat-Nejad, Hamed Mohammadzadeh Rezaie, Saber
Published in
SN Applied Sciences
With the progress of information technology and the prevalence of smartphones, an opportunity to improve the children health services has been arisen. In this regard, many applications have been developed, most of which are not comprehensive enough to meet all of the needs in taking care of children. In this paper, a context-aware infant growth and...
Gupta, Ajay Kr. Shanker, Udai
Published in
SN Applied Sciences
Navigation system is used in deploying the real-time position of vehicles on the map of route with the help of Global Positioning System (GPS). However, the imprecision is included in the map of route due to erroneous GPS signal (i.e., inclusion of errors related to receiver and/or propagation). Also, the current navigation system involves dense ro...
Rossi, Luis Sebastián Ramón
This paper presents three analytical perspectives on the relationship between ubiquitous computing (ubicomp) and various social and cultural dimensions. To achieve such aim, the study reconstructs the last three decades of theoretical production on the subject. Firstly, the paper analyzes instrumentalist positions about the impact, application and ...
Abkenar, Amin B. Loke, Seng W. Zaslavsky, Arkady Rahayu, Wenny
Published in
Journal of Internet Services and Applications
Human activity recognition using embedded mobile and embedded sensors is becoming increasingly important. Scaling up from individuals to groups, that is, group activity recognition, has attracted significant attention recently. This paper proposes a model and specification language for group activities called GroupSense-L, and a novel architecture ...
Becker, Christian Julien, Christine Lalanda, Philippe Zambonelli, Franco
Published in
CCF Transactions on Pervasive Computing and Interaction
Driven by the increasing diffusion of embedded sensors and actuators, and more in general by “Internet of Things” (IoT) devices, pervasive computing is becoming a reality. Yet, most actual implementations of pervasive computing environments rely on rather centralized architectures and on middleware solutions that integrate only the minimal set of s...
Salehan, Alireza Deldari, Hossein Abrishami, Saeid
Published in
Arabian Journal for Science and Engineering
In ubiquitous and mobile computing environments, most of user requests have timing constraints. Therefore, for their execution, real-time scheduling mechanisms should be employed. In such environments, some mechanisms, such as Earliest Deadline First and Least Slack Time Rate (LSTR), are the most used real-time scheduling algorithms today. However,...
Aygalinc, Colin
L'informatique pervasive promeut une vision d'un cadre dans lequel un patchwork de ressources hétérogènes et volatiles est intégré dans les environnements du quotidien. Ces ressources, matérielles ou logicielles, coopèrent de manière transparente, souvent aux travers d'applications, pour fournir des services à haute valeur ajoutée adaptés à chaque ...
Avenoğlu, Bilgin Eren, P. Erhan
Published in
Journal of Ambient Intelligence and Humanized Computing
Using currently available infrastructure in pervasive environments it is possible to provide intelligent mechanisms that offer people help and guidance for organizing their daily activities. In this study, a framework providing such capabilities is proposed. This framework allows users to model their daily activities in the form of workflows, which...
Feuz, Kyle D. Cook, Diane J.
Published in
Knowledge and Information Systems
Activity recognition algorithms have matured and become more ubiquitous in recent years. However, these algorithms are typically customized for a particular sensor platform. In this paper, we introduce PECO, a Personalized activity ECOsystem, that transfers learned activity information seamlessly between sensor platforms in real time so that any av...
