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Cited by 462Context-Aware Activity Recognition SystemsHuman Mobility and Location-Based AnalysisIoT-based Smart Home Systems

Discovering Activities to Recognize and Track in a Smart Environment

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Rashidi, Parisa, Cook, Diane J., Holder, Lawrence B., Schmitter-Edgecombe, Maureen·2011·IEEE Transactions on Knowledge and Data Engineering
DOI 10.1109/tkde.2010.148PMC PMC3100559
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Abstract

The machine learning and pervasive sensing technologies found in smart homes offer unprecedented opportunities for providing health monitoring and assistance to individuals experiencing difficulties living independently at home. In order to monitor the functional health of smart home residents, we need to design technologies that recognize and track activities that people normally perform as part of their daily routines. Although approaches do exist for recognizing activities, the approaches are applied to activities that have been pre-selected and for which labeled training data is available. In contrast, we introduce an automated approach to activity tracking that identifies frequent activities that naturally occur in an individual's routine. With this capability we can then track the occurrence of regular activities to monitor functional health and to detect changes in an individual's patterns and lifestyle. In this paper we describe our activity mining and tracking approach and validate our algorithms on data collected in physical smart environments.

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Authors
Rashidi, P., Cook, D. J., Holder, L. B., & Schmitter-Edgecombe, M.
Affiliations
Washington State University (US)
ORCID
Venue
IEEE Transactions on Knowledge and Data Engineering
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published
2011-04
Volume
23
Issue
4
Pages
527-539
ISSN
1041-4347 (ISSN-L)
DOI
10.1109/tkde.2010.148
PMC
PMC3100559
OpenAlex
W2128332586
Cited by
462
References
9
Citations by year
2026: 3 · 2025: 6 · 2024: 9 · 2023: 12 · 2022: 12 · 2021: 22 · 2020: 34 · 2019: 42 · 2018: 41 · 2017: 33 · 2016: 35 · 2015: 49 · 2014: 55 · 2013: 51 · 2012: 37
FWCI
40.48
Type
journal article
Language
en
Open access
Licence
ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html (vor)
Locations
  • IEEE Transactions on Knowledge and Data Engineering (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
National Institute of Biomedical Imaging and Bioengineering (R01EB009675, R01EB015853)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
  • Social Sciences › Transportation › Human Mobility and Location-Based Analysis
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › IoT-based Smart Home Systems
Keywords
activity recognition, activity monitoring, home automation, pervasive sensing, daily routine

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