Monitoring system for a latent risk population

Alice J. Lin, Charles B. Chen, Fuhua Frank Cheng

Research output: Contribution to journalArticlepeer-review


There are more than 11 million elderly Americans living alone. They belong to a latent risk population that will encounter emergency situations on a frequent basis. Thus, latent risk populations require constant monitoring. Currently, there are many devices that can assist the elderly, but they are not real-time, easily accessible, or particularly effective. Here, we present a novel design for healthy independent living. The system will contain devices for fall detection, surrounding environment monitoring, as well as measuring a person’s blood pressure, pulse, and oxygen saturation in real-time. With this technology, a person’s state is not only controlled by that individual; rather, everything is automated so that even if a person falls unconscious, the system will still take the necessary steps to call for assistance. The technology we propose is aimed towards both healthy individuals as well as those with disabilities and chronic conditions.

Original languageEnglish
Article numberA004
Pages (from-to)693-699
Number of pages7
JournalComputer-Aided Design and Applications
Issue number6
StatePublished - Nov 2 2015

Bibliographical note

Publisher Copyright:
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  • 3D reconstruction
  • 3D scenes
  • Monitoring system

ASJC Scopus subject areas

  • Computational Mechanics
  • Computer Graphics and Computer-Aided Design
  • Computational Mathematics


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