由於醫療技術和科技的發展迅速，使得國人的平均壽命提昇。但由於出生率降低及少子化的因素，我國自民國82 年65 歲以上的人口比例以達到7％。到了今年民國103 年已到了11％，正式進入高齡化社會。因此需要長期照護的患者也將大幅增加，但由於現今社會雙薪家庭加上長期照護的機構不足。藉由情境感知人工智慧的蓬勃發展，慢慢產生了智慧居家照護系統。被利用來協助人為照顧解決老年人或是慢性疾病患者的生活援助。本研究主要目的是以體感互動為基礎，提出一個情境感知的智慧家庭本體論推論模型能夠使受照護者和空間之間的互動的系統。其中介紹了一種基於本體的情境感知模糊模型與居家的環境提供可體感互動的空間，利用模糊理論推論機制提出了老年人在家協助服務（EHA）配置於不同空間中。本系統主要是以的人機互動的角度面向服務的架構，將所需的情境被存儲在由知識本體裡面，它包含受照護者生理本體以及環境空間本體。並利用模糊理論對受照護者提出對應的服務。該系統除了決策系統外，還結合了體感互動系統，受照護者可藉由手勢進行與空間和系統互動，並且兩個系統集成了一個服務平台，用於智慧型家居護理服務，透過手機客戶端的合作和分享受照護者的相關資訊。本研究所建立的健康照護系統，經由撰寫系統與模擬實驗，可以藉由此決策系統可透過預防醫學的面向，深入分析每個受照護者的健康風險。並且觀察受照護者的生理趨勢提供早期預警或是服務建議，從而處進實施居家照護。 Due to the rapid development of medical and computing technology, the averagelife expectancy of people has increased. However, low birth rates and fewer birth tooffspring results in the proportion of the population aged over 65 to reach 7% since1993. In 2014, the aging population has reached 11%, formally entering an agingsociety. Therefore, patients requiring long-term care will also make a substantialincrease. However, our society today has immense proportion of double-incomefamilies and lack of long-term care institutions. The development of the Internet ofThings gradually produces the need of intelligent home care system. This can be usedto help solve human care daily life support for the elderly patients with chronicdiseases. The main purpose of this study is to propose a somatosensory interactiveintelligent home theory based model. This is a context-aware system so that theinteraction can be made between caregivers and the space around them. We alsointroduce the fuzzy theory model in home environment to provide an interactive spacewith somatosensory context-based ontology as perspective. By use of this theory, wecan meet the need of elderly home assistant (EHA) disposed in different environments.The first system is mainly based on the perspective of human-computer interaction toservice-oriented schema. Required context is stored inside the main part of theknowledge database. This includes the ontology of the patients physiological andsurroundings information; the second system use the fuzzy theory when caregiverscorrespond to the database service. It not only acts as a decision-making system, butalso incorporates as an interactive somatosensory system so that the caregiver can usegestures to interact with the space. Both systems integrate a service platform forintelligent home care services, data are provided as feedback to caregivers. In thispaper, we establish a health care system through coding and simulation. Thisdecision-making system can be oriented to preventive medicinal use. In-depthanalysis of the health risks and physiological trend observed by caregivers canprovide early medical warning and advice to implement home care service.
