Wireless Sensor Network for monitoring the activities of old people at home and body gesture recognition
碩士 === 國立新竹教育大學 === 資訊科學研究所 === 99 === Nowadays, due to the advance of medical instrument, the average age increases continuously in our country. The population structure becomes more aging, and Taiwan has already reached the standard of aging population in 1993. Therefore, under the trend of aging-...
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ndltd-TW-099NHCT53940082016-04-11T04:22:40Z http://ndltd.ncl.edu.tw/handle/19263144069445398684 Wireless Sensor Network for monitoring the activities of old people at home and body gesture recognition 無線感測網路應用於年長者居家活動監測與身體姿態辨識 Jia-Hui Lin 林佳輝 碩士 國立新竹教育大學 資訊科學研究所 99 Nowadays, due to the advance of medical instrument, the average age increases continuously in our country. The population structure becomes more aging, and Taiwan has already reached the standard of aging population in 1993. Therefore, under the trend of aging-population society, the needs of looking after the senior increase daily and the issue can not be ignored in domestic society. This study developed a system with wireless sensors for real-time monitoring and actively reporting the fall events of old people. It can decrease the mental and physical problems by fall events and also reduce the huge costs of looking after the elders. The system developed in this study can effectively detect the activities of daily living, including the fall events, and provide the monitoring data for the analysis by experts. Therefore, it can be applied to solve the problems in taking care of live-alone elders. Wen-Hua Tang 唐文華 2011 學位論文 ; thesis 45 zh-TW |
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碩士 === 國立新竹教育大學 === 資訊科學研究所 === 99 === Nowadays, due to the advance of medical instrument, the average age increases continuously in our country. The population structure becomes more aging, and Taiwan has already reached the standard of aging population in 1993. Therefore, under the trend of aging-population society, the needs of looking after the senior increase daily and the issue can not be ignored in domestic society. This study developed a system with wireless sensors for real-time monitoring and actively reporting the fall events of old people. It can decrease the mental and physical problems by fall events and also reduce the huge costs of looking after the elders. The system developed in this study can effectively detect the activities of daily living, including the fall events, and provide the monitoring data for the analysis by experts. Therefore, it can be applied to solve the problems in taking care of live-alone elders.
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author2 |
Wen-Hua Tang |
author_facet |
Wen-Hua Tang Jia-Hui Lin 林佳輝 |
author |
Jia-Hui Lin 林佳輝 |
spellingShingle |
Jia-Hui Lin 林佳輝 Wireless Sensor Network for monitoring the activities of old people at home and body gesture recognition |
author_sort |
Jia-Hui Lin |
title |
Wireless Sensor Network for monitoring the activities of old people at home and body gesture recognition |
title_short |
Wireless Sensor Network for monitoring the activities of old people at home and body gesture recognition |
title_full |
Wireless Sensor Network for monitoring the activities of old people at home and body gesture recognition |
title_fullStr |
Wireless Sensor Network for monitoring the activities of old people at home and body gesture recognition |
title_full_unstemmed |
Wireless Sensor Network for monitoring the activities of old people at home and body gesture recognition |
title_sort |
wireless sensor network for monitoring the activities of old people at home and body gesture recognition |
publishDate |
2011 |
url |
http://ndltd.ncl.edu.tw/handle/19263144069445398684 |
work_keys_str_mv |
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