Literature DB >> 24077428

Automated activity-aware prompting for activity initiation.

Lawrence B Holder1, Diane J Cook.   

Abstract

Performing daily activities without assistance is important to maintaining an independent functional lifestyle. As a result, automated activity prompting systems can potentially extend the period of time that adults can age in place. In this paper we introduce AP, an algorithm to automate activity prompting based on smart home technology. AP learns prompt rules based on the time when activities are typically performed as well as the relationship between activities that normally occur in a sequence. We evaluate the AP algorithm based on smart home datasets and demonstrate its ability to operate within a physical smart environment.

Entities:  

Keywords:  activity prompting; activity recognition; pervasive computing; smart home

Year:  2013        PMID: 24077428      PMCID: PMC3783261          DOI: 10.4017/gt.2013.11.4.005.00

Source DB:  PubMed          Journal:  Gerontechnology        ISSN: 1569-1101


  21 in total

1.  Computer science. How smart is your home?

Authors:  Diane J Cook
Journal:  Science       Date:  2012-03-30       Impact factor: 47.728

2.  Prevalence of mild cognitive impairment and its subtypes in the Heinz Nixdorf Recall study cohort.

Authors:  Martha Dlugaj; Christian Weimar; Natalia Wege; Pablo Emilio Verde; Marcus Gerwig; Nico Dragano; Susanne Moebus; Karl-Heinz Jöckel; Raimund Erbel; Johannes Siegrist
Journal:  Dement Geriatr Cogn Disord       Date:  2010-10-19       Impact factor: 2.959

3.  Recognizing independent and joint activities among multiple residents in smart environments.

Authors:  Geetika Singla; Diane J Cook; Maureen Schmitter-Edgecombe
Journal:  J Ambient Intell Humaniz Comput       Date:  2010-03-01

4.  Home telecare technologies for the elderly.

Authors:  Taxiarchis Botsis; George Demiris; Steinar Pedersen; Gunnar Hartvigsen
Journal:  J Telemed Telecare       Date:  2008       Impact factor: 6.184

5.  User-adaptive reminders for home-based medical tasks. A case study.

Authors:  P Kaushik; S S Intille; K Larson
Journal:  Methods Inf Med       Date:  2008       Impact factor: 2.176

Review 6.  The role of assistive robotics in the lives of persons with disability.

Authors:  Steven W Brose; Douglas J Weber; Ben A Salatin; Garret G Grindle; Hongwu Wang; Juan J Vazquez; Rory A Cooper
Journal:  Am J Phys Med Rehabil       Date:  2010-06       Impact factor: 2.159

7.  Discovering Activities to Recognize and Track in a Smart Environment.

Authors:  Parisa Rashidi; Diane J Cook; Lawrence B Holder; Maureen Schmitter-Edgecombe
Journal:  IEEE Trans Knowl Data Eng       Date:  2011       Impact factor: 6.977

8.  Preferences for receipt of care among community-dwelling adults.

Authors:  J Kevin Eckert; Leslie A Morgan; Namratha Swamy
Journal:  J Aging Soc Policy       Date:  2004

9.  Mild cognitive impairment and objective instrumental everyday functioning: the everyday cognition battery memory test.

Authors:  Jason C Allaire; Alyssa Gamaldo; Brian J Ayotte; Regina Sims; Keith Whitfield
Journal:  J Am Geriatr Soc       Date:  2008-11-03       Impact factor: 5.562

10.  Learning a Taxonomy of Predefined and Discovered Activity Patterns.

Authors:  Narayanan Krishnan; Diane J Cook; Zachary Wemlinger
Journal:  J Ambient Intell Smart Environ       Date:  2013
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  4 in total

1.  Forecasting Occurrences of Activities.

Authors:  Bryan Minor; Diane J Cook
Journal:  Pervasive Mob Comput       Date:  2016-09-27       Impact factor: 3.453

2.  CRAFFT: An Activity Prediction Model based on Bayesian Networks.

Authors:  Ehsan Nazerfard; Diane J Cook
Journal:  J Ambient Intell Humaniz Comput       Date:  2015-04-01

3.  Inferring Human Activity in Mobile Devices by Computing Multiple Contexts.

Authors:  Ruizhi Chen; Tianxing Chu; Keqiang Liu; Jingbin Liu; Yuwei Chen
Journal:  Sensors (Basel)       Date:  2015-08-28       Impact factor: 3.576

4.  A Multi-task Learning Model for Daily Activity Forecast in Smart Home.

Authors:  Hong Yang; Shanshan Gong; Yaqing Liu; Zhengkui Lin; Yi Qu
Journal:  Sensors (Basel)       Date:  2020-03-30       Impact factor: 3.576

  4 in total

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