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

Research output: Contribution to journalArticle

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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.
Original languageEnglish
Pages (from-to)368-379
Number of pages12
JournalIEEE Transactions on Human-Machine Systems
Volume47
Issue number3
Early online date5 Jan 2017
DOIs
Publication statusPublished - 15 May 2017

Keywords

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

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