An automated prompting system for smart environments

Authors:
Barnan Das;Chao Chen;Adriana M. Seelye;Diane J. Cook
Affiliations:
School of Electrical Engineering and Computer Science, Washington State University, Pullman WA;School of Electrical Engineering and Computer Science, Washington State University, Pullman WA;Department of Psychology, Washington State University, Pullman WA;School of Electrical Engineering and Computer Science, Washington State University, Pullman WA
Venue:
ICOST'11 Proceedings of the 9th international conference on Toward useful services for elderly and people with disabilities: smart homes and health telematics
Year:
2011

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Abstract

The growth in popularity of smart environments has been quite steep in the last decade and so has the demand for smart health assistance systems. A smart home-based prompting system can enhance these technologies to deliver in-home interventions to a user for timely reminders or a brief instruction describing the way a task should be done for successful completion. This technology is in high demand with the desire for people who have physical or cognitive limitations to live independently in their homes. In this paper, we take the approach to fully automating a prompting system without any predefined rule set or user feedback. Unlike other approaches, we use simple off-the-shelf sensors and learn the timing for prompts based on real data that is collected with volunteer participants in our smart home testbed.