An automated prompting system for smart environments

Barnan Das, Chao Chen, Adriana M. Seelye, Diane J. Cook

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationToward Useful Services for Elderly and People with Disabilities - 9th International Conference on Smart Homes and Health Telematics, ICOST 2011, Proceedings
Pages9-16
Number of pages8
DOIs
StatePublished - 2011
Event9th International Conference on Smart Homes and Health Telematics: Toward Useful Services for Elderly and People with Disabilities, ICOST 2011 - Montreal, QC, Canada
Duration: Jun 20 2011Jun 22 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6719 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other9th International Conference on Smart Homes and Health Telematics: Toward Useful Services for Elderly and People with Disabilities, ICOST 2011
CountryCanada
CityMontreal, QC
Period6/20/116/22/11

Keywords

  • automated prompting
  • machine learning
  • prompting system
  • sensor network
  • smart environments

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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