Display Full Text | Download Full Text
3.96 MB PDF file

Degree

Master of Science in Computer Engineering (MSCE), Wright State University, Computer Engineering, 2011.

Abstract

Fall related injuries are the leading cause of death and hospitalization among the elderly. Falls among older people become a major problem facing hospitals and nursing homes. In this study we put an effort to design a wireless device capable of detecting falls with the hope that this study will provide a path towards better healthcare monitoring and better independent living for the elderly.

In this project I showed how the fall detection device can be interfaced with different systems to achieve functionality without adding extra cost. For seniors who prefer to stay at their homes and live independently, the device can communicate with their smart phone to request help if needed. For hospitals and nursing homes, an infrared receiver and infrared signals decoding algorithms were implemented to interface with FastFind software to keep track of the location of the residents who fall or request help. There is also an option of having a live video feed from the specific room where the fall was detected.

Subject Headings

Engineering

Keywords

Fall Detection infrared receiver fastfind ramzi ammari computer engineering sensor wireless nodes bluetooth zigbee BLE

Committee / Advisors

Jack Jean, PhD (Advisor)
Yong Pei, PhD (Committee Member)
Meilin Liu, PhD (Committee Member)
Mateen Rizki, PhD (Other)
Andrew Hsu, PhD (Other)

Pages

66p.

Document number: wright1314139225
Permalink: http://rave.ohiolink.edu/etdc/view?acc_num=wright1314139225

This ETD has been downloaded 174 times (through March 2013)