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Towards Multi-Device Context Aware Systems for Elders Well-being

Authors:

Javier Berrocal,

Jose Garcia-Alonso,

Carlos Canal,

Juan M. MurilloAuthors Info & Claims

UbiComp '18: Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers

Pages 750 - 753

https://doi.org/10.1145/3267305.3267706

Published: 08 October 2018 Publication History

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Abstract

An increasing number of devices are getting enough computing and storage capacity to adapt their behaviour to the needs and preferences of their users. However, in multi device systems, this will require new techniques allowing several devices to take the contextual information of their users into account to adapt or coordinate themselves so they can improve the well-being of their users. This paper presents the Liquid Context and the Situational Context concepts. Both concepts are focused on facilitating the migration of the virtual profiles among different devices and on the computation of the contextual information of several entities in order to coordinate the surrounding devices. The main goal of this coordination is the improvement of the elders well-being by a better adaptation of the surrounding technology to their needs and preferences.

References

[1]

Fabrício Benevenuto, Tiago Rodrigues, Meeyoung Cha, and Virgílio Almeida. 2009. Characterizing User Behavior in Online Social Networks. In 9th ACM SIGCOMM Conference on Internet Measurement Conference. 49--62.

Digital Library

Google Scholar

[2]

Denzil Ferreira, Vassilis Kostakos, and Anind K. Dey. 2015. AWARE: mobile context instrumentation framework. Front. ICT (2015).

Google Scholar

[3]

Jayavardhana Gubbi, Rajkumar Buyya, Slaven Marusic, and Marimuthu Palaniswami. 2013. Internet of Things (IoT): A vision, architectural elements, and future directions. Future Generation Computer Systems 29, 7 (2013), 1645--1660.

Digital Library

Google Scholar

[4]

Joaquin Guillen, Javier Miranda, Javier Berrocal, Jose Garcia-Alonso, Juan Manuel Murillo, and Carlos Canal. 2014. People as a Service: A Mobile-centric Model for Providing Collective Sociological Profiles. IEEE Software 31, 2 (2014), 48--53.

Crossref

Google Scholar

[5]

Dong Han, Ye Yan, and Tao Shu. 2015. Context-Aware Distributed Storage in Mobile Cloud Computing. In Mobile Ad Hoc and Sensor Systems (MASS), 2015 IEEE 12th International Conference on. 460--461.

Digital Library

Google Scholar

[6]

International Data Corporation (IDC). 2015. Mobile Device Users/Non-Users: Print, Scan, Document Management, Worldwide. (2015).

Google Scholar

[7]

Hao Qian and Daniel Andresen. 2015. Extending Mobile Device's Battery Life by Offloading Computation to Cloud. In 2nd ACM International Conference on Mobile Software Engineering and Systems, Aharon Abadi, Danny Dig, and Yael Dubinsky (Eds.). 150--151.

Digital Library

Google Scholar

[8]

K. S. Yeo, M. C. Chian, T. C. Wee Ng, and D. A. Tuan. 2014. Internet of Things: Trends, challenges and applications. In Integrated Circuits (ISIC), 2014 14th International Symposium on. 568--571.

Google Scholar

[9]

Jae-Min Yu and Sung-Bae Cho. 2015. Hybrid Artificial Intelligent Systems, HAIS 2015. Chapter A Low-Power Context-Aware System for Smartphone Using Hierarchical Modular Bayesian Networks, 543--554.

Google Scholar

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Müller CFernández PRuiz-Cortés ACasati F(2020)Towards an Automated Management of Well-Being Goals in Nursing HomesGerontechnology10.1007/978-3-030-41494-8_25(253-258)Online publication date: 29-Feb-2020
https://doi.org/10.1007/978-3-030-41494-8_25
Galán-Jiménez JBerrocal JGarcia-Alonso JAzabal M(2019)A Novel Routing Scheme for Creating Opportunistic Context-Virtual Networks in IoT ScenariosSensors10.3390/s1908187519:8(1875)Online publication date: 19-Apr-2019
https://doi.org/10.3390/s19081875

Index Terms

Towards Multi-Device Context Aware Systems for Elders Well-being
1. Information systems
  1. Information retrieval
  2. Information storage systems

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UbiComp '18: Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers

October 2018

1881 pages

ISBN:9781450359665

DOI:10.1145/3267305

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 08 October 2018

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UbiComp '18: The 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing

October 8 - 12, 2018

Singapore, Singapore

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Müller CFernández PRuiz-Cortés ACasati F(2020)Towards an Automated Management of Well-Being Goals in Nursing HomesGerontechnology10.1007/978-3-030-41494-8_25(253-258)Online publication date: 29-Feb-2020
https://doi.org/10.1007/978-3-030-41494-8_25
Galán-Jiménez JBerrocal JGarcia-Alonso JAzabal M(2019)A Novel Routing Scheme for Creating Opportunistic Context-Virtual Networks in IoT ScenariosSensors10.3390/s1908187519:8(1875)Online publication date: 19-Apr-2019
https://doi.org/10.3390/s19081875

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Context modeling and inference system for heterogeneous context aware service

Ontology based context alignment for heterogeneous context aware services

Mining Mobile User Preferences for Personalized Context-Aware Recommendation

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