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Sensors activation time predictions in smart home

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PETRA '15: Proceedings of the 8th ACM International Conference on PErvasive Technologies Related to Assistive Environments

Article No.: 37, Pages 1 - 6

https://doi.org/10.1145/2769493.2769530

Published: 01 July 2015 Publication History

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Abstract

Activity recognition is the most challenging stage of technological assistance which offers automatic support, when needed, to elderly and disabled people such as Alzheimer's patients living in smart homes. Many approaches and techniques were proposed for activity recognition while other technological assistance stages were barely explored. In this paper, after presenting our activity recognition approach and explaining how the artificial agent will use it to decide when to intervene offering help, we use time series forecasting in order to better choose the intervention time.

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Cited By

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Zhu ZFu YShen WMihailidis ALiu SZhou WHuang Z(2023)CBASH: A CareBot-Assisted Smart Home System Architecture to Support Aging-in-PlaceIEEE Access10.1109/ACCESS.2023.326427211(33542-33553)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3264272
Khallouki HBenlamri RYassine A(2022)Comprehensive Ontological Model for Senior Wellness Activity Recognition in Smart HomesResearch Anthology on Supporting Healthy Aging in a Digital Society10.4018/978-1-6684-5295-0.ch026(457-473)Online publication date: 4-Feb-2022
https://doi.org/10.4018/978-1-6684-5295-0.ch026
Khallouki HBenlamri RYassine A(2020)Comprehensive Ontological Model for Senior Wellness Activity Recognition in Smart HomesSensor Network Methodologies for Smart Applications10.4018/978-1-7998-4381-8.ch007(148-167)Online publication date: 2020
https://doi.org/10.4018/978-1-7998-4381-8.ch007
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Index Terms

Sensors activation time predictions in smart home
1. Computing methodologies
  1. Machine learning
2. Information systems
  1. Information systems applications
    1. Decision support systems
      1. Expert systems

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Published In

PETRA '15: Proceedings of the 8th ACM International Conference on PErvasive Technologies Related to Assistive Environments

July 2015

526 pages

ISBN:9781450334525

DOI:10.1145/2769493

Conference Chair:
Fillia Makedon
University of Texas Arlington
,
Program Chairs:
Gian-Luca Mariottini,
Oliver Korn,
Illias Maglogiannis,
Vangelis Metsis

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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 July 2015

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PETRA '15

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NSF
University of Texas at Austin
Univ. of Piraeus
NCRS
Ionian

PETRA '15: 8th PErvasive Technologies Related to Assistive Environments

July 1 - 3, 2015

Corfu, Greece

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Cited By

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Zhu ZFu YShen WMihailidis ALiu SZhou WHuang Z(2023)CBASH: A CareBot-Assisted Smart Home System Architecture to Support Aging-in-PlaceIEEE Access10.1109/ACCESS.2023.326427211(33542-33553)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3264272
Khallouki HBenlamri RYassine A(2022)Comprehensive Ontological Model for Senior Wellness Activity Recognition in Smart HomesResearch Anthology on Supporting Healthy Aging in a Digital Society10.4018/978-1-6684-5295-0.ch026(457-473)Online publication date: 4-Feb-2022
https://doi.org/10.4018/978-1-6684-5295-0.ch026
Khallouki HBenlamri RYassine A(2020)Comprehensive Ontological Model for Senior Wellness Activity Recognition in Smart HomesSensor Network Methodologies for Smart Applications10.4018/978-1-7998-4381-8.ch007(148-167)Online publication date: 2020
https://doi.org/10.4018/978-1-7998-4381-8.ch007
Casagrande FTorresen JZouganeli E(2019)Comparison of Probabilistic Models and Neural Networks on Prediction of Home Sensor Events2019 International Joint Conference on Neural Networks (IJCNN)10.1109/IJCNN.2019.8851746(1-8)Online publication date: Jul-2019
https://doi.org/10.1109/IJCNN.2019.8851746
Casagrande FTorresen JZouganeli E(2018)Sensor Event Prediction using Recurrent Neural Network in Smart Homes for Older Adults2018 International Conference on Intelligent Systems (IS)10.1109/IS.2018.8710467(662-668)Online publication date: Sep-2018
https://doi.org/10.1109/IS.2018.8710467
Wu SRendall JSmith MZhu SXu JWang HYang QQin P(2017)Survey on Prediction Algorithms in Smart HomesIEEE Internet of Things Journal10.1109/JIOT.2017.26680614:3(636-644)Online publication date: Jun-2017
https://doi.org/10.1109/JIOT.2017.2668061

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Annotating smart environment sensor data for activity learning

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