Design and Implementation of Emergent Event Detection and Behavior Recognition for a Health Care Based on Technique Supports of IoT and Big Data Analysis

碩士 === 淡江大學 === 資訊工程學系碩士班 === 104 === 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 gradu...

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Bibliographic Details
Main Authors: Te-Wei Chiang, 江得瑋
Other Authors: Ren-Junn Hwang
Format: Others
Language:zh-TW
Published: 2016
Online Access:http://ndltd.ncl.edu.tw/handle/9k6c9j
Description
Summary:碩士 === 淡江大學 === 資訊工程學系碩士班 === 104 === 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.