The Independent LifeStyle Assistant: Lessons Learned |
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| Authors: | Karen Zita Haigh PhD Liana M. Kiff Geoffrey Ho PhD |
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| Affiliation: | Honeywell Laboratories , Minneapolis, Minnesota |
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| 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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| Keywords: | Elder care Passive monitoring Intent recognition Machine learning Ontology |
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