The Development of Somatosensory Interactive HealthcareSystem Based on Ontology and Fuzzy Inference
| Autor: | Wen-Hua Liang, 梁文樺 |
|---|---|
| Rok vydání: | 2015 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 103 Due to the rapid development of medical and computing technology, the average life expectancy of people has increased. However, low birth rates and fewer birth to offspring results in the proportion of the population aged over 65 to reach 7% since 1993. In 2014, the aging population has reached 11%, formally entering an aging society. Therefore, patients requiring long-term care will also make a substantial increase. However, our society today has immense proportion of double-income families and lack of long-term care institutions. The development of the Internet of Things gradually produces the need of intelligent home care system. This can be used to help solve human care daily life support for the elderly patients with chronic diseases. The main purpose of this study is to propose a somatosensory interactive intelligent home theory based model. This is a context-aware system so that the interaction can be made between caregivers and the space around them. We also introduce the fuzzy theory model in home environment to provide an interactive space with somatosensory context-based ontology as perspective. By use of this theory, we can 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 to service-oriented schema. Required context is stored inside the main part of the knowledge database. This includes the ontology of the patients physiological and surroundings information; the second system use the fuzzy theory when caregivers correspond to the database service. It not only acts as a decision-making system, but also incorporates as an interactive somatosensory system so that the caregiver can use gestures to interact with the space. Both systems integrate a service platform for intelligent home care services, data are provided as feedback to caregivers. In this paper, we establish a health care system through coding and simulation. This decision-making system can be oriented to preventive medicinal use. In-depth analysis of the health risks and physiological trend observed by caregivers can provide early medical warning and advice to implement home care service. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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