Publication Date
2011
Document Type
Thesis
Committee Members
Andrew Hsu (Other), Jack Jean (Advisor), Meilin Liu (Committee Member), Yong Pei (Committee Member), Mateen Rizki (Other)
Degree Name
Master of Science in Computer Engineering (MSCE)
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.
Page Count
66
Department or Program
Department of Computer Science and Engineering
Year Degree Awarded
2011
Copyright
Copyright 2011, all rights reserved. This open access ETD is published by Wright State University and OhioLINK.
