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R. Koch, M. Pollefeys, and L. V. Gool, “Robust calibration and 3d geometric modeling from large collections of uncalibrated images,” DAGM, pp. 413-420, 1999.

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Article

Automation for Monitoring Elderly Americans

1Marshall University, Huntington,West Virginia, USA

2West VirginiaUniversity, Morgantown,West Virginia, USA


Journal of Automation and Control. 2014, Vol. 2 No. 3, 57-61
DOI: 10.12691/automation-2-3-1
Copyright © 2014 Science and Education Publishing

Cite this paper:
Alice J. Lin, Charles B. Chen. Automation for Monitoring Elderly Americans. Journal of Automation and Control. 2014; 2(3):57-61. doi: 10.12691/automation-2-3-1.

Correspondence to: Alice  J. Lin, Marshall University, Huntington,West Virginia, USA. Email: lina@marshall.edu

Abstract

Moreelderly Americans are living alone than ever before. Since elderly Americans are exposed to more risks of falling as they get older,reliably detecting falls for elderly Americans hasbecome an important field of research.Currently, there are somedevices that can assist the elderly, but they are not real-time, accessible, or particularly effective. We designeda novel automatic system for monitoring healthy independent living. The system will contain the 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 automatic monitoring system, a person’s state is not only controlled by that individual; rather, everything is automated so that even if a person falls unconscious or becomes extremely injured, it will still take the necessary steps to call for assistance. The system we proposed is aimed towards both healthy individuals as well as those with disabilities and chronic conditions.

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