research-article

Ontology-based Activity Recognition Framework and Services

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Joseph RaffertyAuthors Info & Claims

IIWAS '13: Proceedings of International Conference on Information Integration and Web-based Applications & Services

Pages 463 - 469

https://doi.org/10.1145/2539150.2539187

Published: 02 December 2013 Publication History

Abstract

This paper introduces an ontology-based integrated framework for activity modeling, activity recognition and activity model evolution. Central to the framework is ontological activity modeling and semantic-based activity recognition, which is supported by an iterative process that incrementally improves the completeness and accuracy of activity models. In addition, the paper presents a service-oriented architecture for the realization of the proposed framework which can provide activity context-aware services in a scalable distributed manner. The paper further describes and discusses the implementation and testing experience of the framework and services in the context of smart home based assistive living.

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Cited By

Triboan DChen LChen FWang Z(2019)A semantics-based approach to sensor data segmentation in real-time Activity RecognitionFuture Generation Computer Systems10.1016/j.future.2018.09.05593:C(224-236)Online publication date: 1-Apr-2019
https://dl.acm.org/doi/10.1016/j.future.2018.09.055
Chen LNugent CChen LNugent C(2019)Human Centred Cyber Physical SystemsHuman Activity Recognition and Behaviour Analysis10.1007/978-3-030-19408-6_10(217-249)Online publication date: 12-Jun-2019
https://doi.org/10.1007/978-3-030-19408-6_10
Ayari NChibani AAmirat YMatson E(2018)A semantic approach for enhancing assistive services in ubiquitous roboticsRobotics and Autonomous Systems10.1016/j.robot.2014.10.02275:PA(17-27)Online publication date: 28-Dec-2018
https://dl.acm.org/doi/10.1016/j.robot.2014.10.022
Show More Cited By

Index Terms

Ontology-based Activity Recognition Framework and Services
1. Information systems
  1. Information systems applications
    1. Decision support systems
      1. Expert systems

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IIWAS '13: Proceedings of International Conference on Information Integration and Web-based Applications & Services

December 2013

753 pages

ISBN:9781450321136

DOI:10.1145/2539150

Copyright © 2013 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 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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@WAS: International Organization of Information Integration and Web-based Applications and Services

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Publication History

Published: 02 December 2013

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IIWAS '13

IIWAS '13: The 15th International Conference on Information Integration and Web-based Applications & Services

December 2 - 4, 2013

Vienna, Austria

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Cited By

Triboan DChen LChen FWang Z(2019)A semantics-based approach to sensor data segmentation in real-time Activity RecognitionFuture Generation Computer Systems10.1016/j.future.2018.09.05593:C(224-236)Online publication date: 1-Apr-2019
https://dl.acm.org/doi/10.1016/j.future.2018.09.055
Chen LNugent CChen LNugent C(2019)Human Centred Cyber Physical SystemsHuman Activity Recognition and Behaviour Analysis10.1007/978-3-030-19408-6_10(217-249)Online publication date: 12-Jun-2019
https://doi.org/10.1007/978-3-030-19408-6_10
Ayari NChibani AAmirat YMatson E(2018)A semantic approach for enhancing assistive services in ubiquitous roboticsRobotics and Autonomous Systems10.1016/j.robot.2014.10.02275:PA(17-27)Online publication date: 28-Dec-2018
https://dl.acm.org/doi/10.1016/j.robot.2014.10.022
Triboan DChen LChen FFallmann SPsychoula I(2017)Real-time sensor observation segmentation for complex activity recognition within smart environments2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computed, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI)10.1109/UIC-ATC.2017.8397487(1-8)Online publication date: Aug-2017
https://doi.org/10.1109/UIC-ATC.2017.8397487
Fallmann SKropf J(2016)Human Activity Recognition of Continuous Data Using Hidden Markov Models and the Aspect of Including Discrete Data2016 Intl IEEE Conferences on Ubiquitous Intelligence & Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People, and Smart World Congress (UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld)10.1109/UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld.2016.0039(121-126)Online publication date: Jul-2016
https://doi.org/10.1109/UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld.2016.0039
Triboan DChen LChen F(2016)Towards a Mobile Assistive System Using Service-Oriented Architecture2016 IEEE Symposium on Service-Oriented System Engineering (SOSE)10.1109/SOSE.2016.41(187-196)Online publication date: Mar-2016
https://doi.org/10.1109/SOSE.2016.41
Li RLu BMcDonald-Maier K(2015)Cognitive assisted living ambient system: a surveyDigital Communications and Networks10.1016/j.dcan.2015.10.0031:4(229-252)Online publication date: Nov-2015
https://doi.org/10.1016/j.dcan.2015.10.003

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