教師資料查詢 | 類別: 期刊論文 | 教師: 林其誼 Lin, Chi-yi (瀏覽個人網頁)

標題:Danger warning via fuzzy inference in an RFID-deployed environment
學年100
學期1
出版(發表)日期2011/12/01
作品名稱Danger warning via fuzzy inference in an RFID-deployed environment
作品名稱(其他語言)
著者Hsu, Hui-Huang; Chen, Bo-Kai; Lin, Chi-Yi; Leonard Barolli; Makoto Takizawa
單位淡江大學資訊工程學系
出版者Heidelberg: Springer
著錄名稱、卷期、頁數Journal of Ambient Intelligence & Humanized Computing 2(4), pp.285-292
摘要The population structure of some developed countries has been changed. Aged population with fewer kids is the main problem. To relieve the burden for caring elder people and kids at home, automatic mechanisms for homecare are needed. In this research, we focus on home safety with the elders and the kids. We aim at developing a RFID-based system that can detect the movement of the user at home. When the user approaches a dangerous location or a dangerous object, the system issues a warning to the caregiver to prevent possible dangerous situations. An active RFID tag is placed at each location and near each object. The user carries an RFID reader which detects the signal strengths of all tags and transmits them to the system in real time. The system issues a warning to the caregiver when the dangerous degree for a dangerous location/object is above the predefined level. A dangerous situation can be prevented if the caregiver watches out beforehand. The dangerous degree is determined through fuzzy inference on the user age and the signal strengths which reflect the distance of the user to a dangerous location/object. Fuzzy membership functions and fuzzy rules are defined in this system. A feedback mechanism is also designed to provide personalized services, which simply modifies the default fuzzy membership function of the corresponding location or object. Experimental results demonstrate that the system is promising in this application.
關鍵字RFID; Fuzzy inference; User feedback; Home safety; Ambient intelligence
語言英文(美國)
ISSN1868-5137; 1868-5145
期刊性質國外
收錄於EI
產學合作
通訊作者
審稿制度
國別德國
公開徵稿
出版型式紙本
相關連結
SDGs
Google+ 推薦功能,讓全世界都能看到您的推薦!