- 學位論文
以日常生活行為為依據建構具有危險預測的智慧家庭環境
Dangerous Behaviors for Smart Home Prediction based on the Activity Records of Daily Life
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摘要
人口為國家構成的基本要素，並且決定國家發展的重要關鍵因素之一。台灣目前面對的問題是人口的老化與少子化的趨勢，這兩個問題是需要很長時間的經營才能改善，當同時存在這兩種問題將會使國家面臨人口結構分布不均。其中，在高齡化方面，近年來，由於人們的生育率逐年降低，再加上高齡人口越來越高，青壯年人口占的比率不高的情況下，家中長輩經常會出現沒有人照顧。當此問題越來越嚴重時，家庭設備的自動化及居家安全的自動偵測就顯得越來越重要。 本研究提出一個能即時提供居家安全的智慧環境「Be-Health Home」，透過觀察家中長輩日常生活的行為(Behavior)，藉以實踐電子化健康照護(Health Care)的效果。透過「Be-Health Home」所實現的智慧家庭(Smart Home)，能夠在任何地方、任何時間依據長輩的日常生活行為，預測長輩是否可能發生危險的行為，因而可以避免家中的長輩避免發生危險。 在「Be-Health Home」的研究中，將所觀察到的行為分成正常與非正常兩種。若所觀察到的行為是正常，則繼續追蹤被觀察者的行為。反之，若觀察到的行為是非正常的行為，則繼續判斷該行為是異常的行為或是危險的行為，並給予不同程度的提醒作為警惕，即使家人在上班或出遊也可以透過物聯網的技術即時掌握家人的安全狀況。藉由本研究所提出的架構，當長輩在家中無人照顧時，在床上昏倒太久也可以被偵測到異常或危險。
並列摘要
In an ageing society, the living safety at home of elderly person has gained attention and concern of the parties in the field. However, the cost of providing a safety smart home environment is very high. Therefore, according to the elderly person's behavior patterns, the “Be-Health Home” is proposed, which can provide more safety environment in any time. Through to observe activities of daily living and cross validation with behavior, the health care in smart home can be reached. The observed behaviors by “Be-Health Home” can be divided into normal and non-normal. If the behavior is detected as normal, then continue to track monitoring. If the behavior is classified as non-normal, the behavior will further be analyzed to distinguish abnormal or dangerous behavior. If the behavior is judged to be abnormal state, then the frequency of detection of tracking and monitoring is increased to prevent dangerous behavior. If the behavior is determined as dangerous, warning is issued and the subsequent processing immediately. However, through the proposed model, the safety living environment can be obtained.
參考文獻
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