Literature DB >> 16796244

The Independent LifeStyle Assistant: lessons learned.

Karen Zita Haigh1, Liana M Kiff, Geoffrey Ho.   

Abstract

The Independent LifeStyle Assistant (I.L.S.A.) is an agent-based monitoring and support system to help elderly people live longer in their homes by reducing caregiver burden. I.L.S.A. is a multiagent system that incorporates a unified sensing model, situation assessments, response planning, real-time responses, and machine learning. This paper describes the six-month study of the system we fielded in elders' homes and the major lessons we learned during development.

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Year:  2006        PMID: 16796244     DOI: 10.1080/10400435.2006.10131909

Source DB:  PubMed          Journal:  Assist Technol        ISSN: 1040-0435


  5 in total

1.  Using Passive Sensing to Estimate Relative Energy Expenditure for Eldercare Monitoring.

Authors:  Shuang Wang; Marjorie Skubic; Yingnan Zhu; Colleen Galambos
Journal:  Proc IEEE Int Conf Pervasive Comput Commun       Date:  2011-03-21

2.  An early illness recognition framework using a temporal Smith Waterman algorithm and NLP.

Authors:  Zahra Hajihashemi; Mihail Popescu
Journal:  AMIA Annu Symp Proc       Date:  2013-11-16

3.  Evolution of an Early Illness Warning System to Monitor Frail Elders in Independent Living.

Authors:  Gregory L Alexander; Marilyn Rantz; Marjorie Skubic; Richelle J Koopman; Lorraine J Phillips; Rainer D Guevara; Steven J Miller
Journal:  J Healthc Eng       Date:  2011       Impact factor: 2.682

Review 4.  Techniques and devices to restore cognition.

Authors:  Mijail Demian Serruya; Michael J Kahana
Journal:  Behav Brain Res       Date:  2008-04-20       Impact factor: 3.332

Review 5.  Application Scenarios for Artificial Intelligence in Nursing Care: Rapid Review.

Authors:  Kathrin Seibert; Dominik Domhoff; Dominik Bruch; Matthias Schulte-Althoff; Daniel Fürstenau; Felix Biessmann; Karin Wolf-Ostermann
Journal:  J Med Internet Res       Date:  2021-11-29       Impact factor: 5.428

  5 in total

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