Embedded assessment of wellness with smart home sensors

  • Authors:
  • Matthew L. Lee

  • Affiliations:
  • Carnegie Mellon, Pittsburgh, PA, USA

  • Venue:
  • Proceedings of the 12th ACM international conference adjunct papers on Ubiquitous computing - Adjunct
  • Year:
  • 2010

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Abstract

Embedded home sensors hold the promise of helping older adults age in place. They can help older adults maintain awareness of their functional abilities, a critical step for early detection of decline. In this proposal, I describe my research in understanding how to design and deploy home sensors that monitor how well individuals perform everyday activities. These systems collect an overwhelming amount of data, and thus I will identify the information needs of stakeholders to inform the design of salient summaries of the data for elders, their family caregivers, and their doctors to become more aware of changes functional abilities.