From Activity Recognition to Intention Recognition for Assisted Living Within Smart Homes

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37 Citations (Scopus)

Abstract

The global population is aging; projections show that by 2050, over 20% of the population will be aged over 64. This will lead to an increase in aging related illness, a decrease in informal support, and ultimately issues with providing care for these individuals. Assistive Smart Homes provide a promising solution to some of these issues. Nevertheless, they currently have issues hindering their adoption. To help address some of these issues, this study introduces a novel approach to implementing assistive Smart Homes. The devised approach is based upon an Intention Recognition mechanism incorporated into an intelligent agent architecture. This approach is detailed and evaluated. Evaluation was performed across three scenarios. Scenario 1 involved a web interface, focusing on testing the Intention Recognition mechanism. Scenarios 2 and 3 involved retrofitting a home with sensors and providing assistance with activities over a period of 3 months. The average accuracy for these three scenarios was 100%, 64.4%, and 83.3%, respectively. Future will extend and further evaluate this approach by implementing advanced sensor-filtering rules and evaluating more complex activities.
LanguageEnglish
Pages1-12
JournalIEEE Transactions on Human-Machine Systems
VolumePP
Issue number99
Early online date5 Jan 2017
DOIs
Publication statusE-pub ahead of print - 5 Jan 2017

Fingerprint

Aging of materials
Intelligent agents
Retrofitting
Sensors
Testing
Assisted living

Keywords

  • Activity recognition
  • ambient-assisted living (AAL)
  • goal recognition
  • intelligent agents
  • intention recognition (IR)
  • smart homes (SHs)

Cite this

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title = "From Activity Recognition to Intention Recognition for Assisted Living Within Smart Homes",
abstract = "The global population is aging; projections show that by 2050, over 20{\%} of the population will be aged over 64. This will lead to an increase in aging related illness, a decrease in informal support, and ultimately issues with providing care for these individuals. Assistive Smart Homes provide a promising solution to some of these issues. Nevertheless, they currently have issues hindering their adoption. To help address some of these issues, this study introduces a novel approach to implementing assistive Smart Homes. The devised approach is based upon an Intention Recognition mechanism incorporated into an intelligent agent architecture. This approach is detailed and evaluated. Evaluation was performed across three scenarios. Scenario 1 involved a web interface, focusing on testing the Intention Recognition mechanism. Scenarios 2 and 3 involved retrofitting a home with sensors and providing assistance with activities over a period of 3 months. The average accuracy for these three scenarios was 100{\%}, 64.4{\%}, and 83.3{\%}, respectively. Future will extend and further evaluate this approach by implementing advanced sensor-filtering rules and evaluating more complex activities.",
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