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Smart home context awareness based on Smart and Innovative Cities

Authors:

Aggeliki Vlachostergiou,

Georgios Stratogiannis,

George Caridakis,

Georgios Siolas,

Phivos MylonasAuthors Info & Claims

EANN '15: Proceedings of the 16th International Conference on Engineering Applications of Neural Networks (INNS)

Article No.: 32, Pages 1 - 10

https://doi.org/10.1145/2797143.2797150

Published: 25 September 2015 Publication History

Abstract

In the emerging Smart Cities - Smart Homes computing paradigms developing a formalization for context information is increasingly important. In the present paper, basedon the EU FIRE research project "Social and Smart" we aim to formalize and build a complete formal definition of context in both home and city scale. Using sensors as a Smart City service and local sensors installed locally in Smart Homes, it is possible to collect continuously context data, such as temperature, humidity, noise and pollution levels. This context information can be used to adapt to user-specific needs in the Smart Home environment via the incorporation of user defined home rules. Semantic web technologies are used to support the knowledge representation of this ecosystem. The overall architecture has been experimentally verified using input from the SmartSantander Smart City project and applying it to the SandS Smart Home within the FIRE and FIWARE framework. Finally, two examples are presented in order to stress how the smart home appliances adapt their function to home rules and context information.

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Cited By

Shahverdi HNabati MFard Moshiri PAsvadi RGhorashi S(2023)Enhancing CSI-Based Human Activity Recognition by Edge Detection TechniquesInformation10.3390/info1407040414:7(404)Online publication date: 14-Jul-2023
https://doi.org/10.3390/info14070404
Kun ZQuanquan LQingzhe W(2023)HarFi: Human Trajectory Recognition Based on WiFi CSI Using Deep Learning2023 9th International Conference on Computer and Communications (ICCC)10.1109/ICCC59590.2023.10507450(1809-1814)Online publication date: 8-Dec-2023
https://doi.org/10.1109/ICCC59590.2023.10507450
Shrinidhi LKadiresan NParameswaran L(2022)A novel approach for context-aware sensor optimization in a smart homeProcedia Computer Science10.1016/j.procs.2022.12.037215(350-360)Online publication date: 2022
https://doi.org/10.1016/j.procs.2022.12.037
Show More Cited By

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Smart home context awareness based on Smart and Innovative Cities

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cover image ACM Other conferences

EANN '15: Proceedings of the 16th International Conference on Engineering Applications of Neural Networks (INNS)

September 2015

266 pages

ISBN:9781450335805

DOI:10.1145/2797143

Editors:
Lazaros Iliadis
Democritus University of Thrace, Greece
,
Chrisina Jane
Coventry University, UK

Copyright © 2015 ACM.

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 the author(s) 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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Aristotle University of Thessaloniki
INNS: International Neural Network Society

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 25 September 2015

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16th EANN workshops

16th EANN workshops: 16th Engineering Applications of Neural Networks Conference WORKSHOPS

September 25 - 28, 2015

Island, Rhodes, Greece

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EANN '15 Paper Acceptance Rate 36 of 60 submissions, 60%;

Overall Acceptance Rate 36 of 60 submissions, 60%

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Cited By

Shahverdi HNabati MFard Moshiri PAsvadi RGhorashi S(2023)Enhancing CSI-Based Human Activity Recognition by Edge Detection TechniquesInformation10.3390/info1407040414:7(404)Online publication date: 14-Jul-2023
https://doi.org/10.3390/info14070404
Kun ZQuanquan LQingzhe W(2023)HarFi: Human Trajectory Recognition Based on WiFi CSI Using Deep Learning2023 9th International Conference on Computer and Communications (ICCC)10.1109/ICCC59590.2023.10507450(1809-1814)Online publication date: 8-Dec-2023
https://doi.org/10.1109/ICCC59590.2023.10507450
Shrinidhi LKadiresan NParameswaran L(2022)A novel approach for context-aware sensor optimization in a smart homeProcedia Computer Science10.1016/j.procs.2022.12.037215(350-360)Online publication date: 2022
https://doi.org/10.1016/j.procs.2022.12.037
Fard Moshiri PShahbazian RNabati MGhorashi S(2021)A CSI-Based Human Activity Recognition Using Deep LearningSensors10.3390/s2121722521:21(7225)Online publication date: 30-Oct-2021
https://doi.org/10.3390/s21217225
Vonitsanos GPanagiotakopoulos TKanavos AMaragoudakis MMylonas P(2021)Issues and Challenges associated with Blockchain in Smart Cities2021 16th International Workshop on Semantic and Social Media Adaptation & Personalization (SMAP)10.1109/SMAP53521.2021.9610780(1-5)Online publication date: 4-Nov-2021
https://doi.org/10.1109/SMAP53521.2021.9610780

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