Design and Implementation of Position-Free Fall Detection System Based on Android Smart Phone
碩士 === 國立臺北科技大學 === 電腦與通訊研究所 === 101 === In many countries, population aging has become a common problem and falls are the number one cause of injury in older adults. Fall will make elderly lose the ability to activities of daily living, it will produce many social problems, and cause the waste of m...
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ndltd-TW-101TIT056520472019-05-15T21:02:29Z http://ndltd.ncl.edu.tw/handle/798498 Design and Implementation of Position-Free Fall Detection System Based on Android Smart Phone 基於Android智慧型手機之多位置量測跌倒偵測系統之研製 Shiang-You Luo 羅祥祐 羅祥祐 碩士 國立臺北科技大學 電腦與通訊研究所 101 In many countries, population aging has become a common problem and falls are the number one cause of injury in older adults. Fall will make elderly lose the ability to activities of daily living, it will produce many social problems, and cause the waste of medical costs, so fall detection has become an important research topic. This paper proposed a fall detection system based on android smartphone, this system can detect fall event on three positions of user included chest, waist, thigh, and user can select a positon that feel comfortable. System will detect the position of phone and adjust the threshold value according to the phone position. The sensitivity on three positions are 92%, 87% and 89% respectively, the specificity on three positions are 100%, 100% and 98% respectively. 李仁貴 2013 學位論文 ; thesis 76 zh-TW |
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碩士 === 國立臺北科技大學 === 電腦與通訊研究所 === 101 === In many countries, population aging has become a common problem and falls are the number one cause of injury in older adults. Fall will make elderly lose the ability to activities of daily living, it will produce many social problems, and cause the waste of medical costs, so fall detection has become an important research topic.
This paper proposed a fall detection system based on android smartphone, this system can detect fall event on three positions of user included chest, waist, thigh, and user can select a positon that feel comfortable. System will detect the position of phone and adjust the threshold value according to the phone position.
The sensitivity on three positions are 92%, 87% and 89% respectively, the specificity on three positions are 100%, 100% and 98% respectively.
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author2 |
李仁貴 |
author_facet |
李仁貴 Shiang-You Luo 羅祥祐 羅祥祐 |
author |
Shiang-You Luo 羅祥祐 羅祥祐 |
spellingShingle |
Shiang-You Luo 羅祥祐 羅祥祐 Design and Implementation of Position-Free Fall Detection System Based on Android Smart Phone |
author_sort |
Shiang-You Luo 羅祥祐 |
title |
Design and Implementation of Position-Free Fall Detection System Based on Android Smart Phone |
title_short |
Design and Implementation of Position-Free Fall Detection System Based on Android Smart Phone |
title_full |
Design and Implementation of Position-Free Fall Detection System Based on Android Smart Phone |
title_fullStr |
Design and Implementation of Position-Free Fall Detection System Based on Android Smart Phone |
title_full_unstemmed |
Design and Implementation of Position-Free Fall Detection System Based on Android Smart Phone |
title_sort |
design and implementation of position-free fall detection system based on android smart phone |
publishDate |
2013 |
url |
http://ndltd.ncl.edu.tw/handle/798498 |
work_keys_str_mv |
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