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Journals & Magazines >IEEE Transactions on Human-Ma... >Volume: 47 Issue: 3

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

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Joseph Rafferty; Chris D. Nugent; Jun Liu; Liming Chen
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Abstract:

The global population is aging; projections show that by 2050, more than 20% of the population will be aged over 64. This will lead to an increase in aging related illnes...Show More

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Abstract:

The global population is aging; projections show that by 2050, more than 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.
Published in: IEEE Transactions on Human-Machine Systems ( Volume: 47, Issue: 3, June 2017)
Page(s): 368 - 379
Date of Publication: 05 January 2017

ISSN Information:

DOI: 10.1109/THMS.2016.2641388

Funding Agency:

References is not available for this document.
Contents

I. Introduction

The worldwide population is ageing and is resulting in an uneven demographic composition [1], [2]. This is expected to reach a situation where by 2050 more than 20% of the population will be aged over 64 [1], [2]. This growth in the aging population is expected to produce an increase in age-related illness which, in turn, will place additional burdens on healthcare provision [2]. In addition, the amount of informal support available will decrease due to a reduction in the global potential support ratio (PSR). The PSR is the ratio of people that comprises the working age (15–64) to those older than 64 [1]. The PSR is expected to continue on a downward trend reaching a low of 4:1 by 2050. The PSR was previously 12:1 in 1950 and more recently 9:1 in 2009 [1].

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