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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/111332

    Title: 物聯網與大數據技術支援下設計及實作居家健康照護之緊急事件偵測與行為辨識
    Other Titles: Design and implementation of emergent event detection and behavior recognition for a health care based on technique supports of IoT and big data analysis
    Authors: 江得瑋;Chiang, Te-Wei
    Contributors: 淡江大學資訊工程學系碩士班
    黃仁俊;Hwang, Ren-Junn
    Keywords: 居家照護;物聯網;全面感知;緊急事件通知;行為辨識;home care;Internet of things;Full Sensing;Emergency Notification;Behavior recognition
    Date: 2016
    Issue Date: 2017-08-24 23:50:13 (UTC+8)
    Abstract: 隨著科技的進步、醫學的發展、人口出生率及死亡率的逐年降低,全球老年人口的比例正大幅提升,隨著高齡化社會的來臨,養老照顧漸漸成為重要的社會議題。而社會上專業養老機構已經無法負荷老年人口持續的成長,居家健康照護必成為未來的趨勢。
    With the advancement of technology, the development of medicine, birth rate and death rate decreased year by year, the proportion of the world''s elderly population is rapidly growing, With the advent of an aging society, old-age care has gradually become an important social issue. But the professional pension institutions of society has been unable to load the elderly population continues to grow, Home health care will be the future trend.
    Of this thesis intends to design a combination Internet of Things and big data technologies to create a IOT Home health care system. This system incorporates intelligent sensing element with a variety of wireless communication technology.With the Internet of Things technology, is to collect information caregivers daily life. Next, the data obtained through big data analysis techniques identified by caregivers behavior, and monitoring emergency situations that may occur in the home environment. All caregiver’s information can provide immediate family members or health care workers to understand. Create a comfortable environment and improve quality of care and have emergency detection system. Reduce the burden on families and society.
    Appears in Collections:[資訊工程學系暨研究所] 學位論文

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