教師資料查詢 | 類別: 期刊論文 | 教師: 張志勇 Chih-yung Chang (瀏覽個人網頁)

標題:Implicit Irregularity Detection using Unsupervised Learning on Daily Behaviors
學年107
學期2
出版(發表)日期2019/02/01
作品名稱Implicit Irregularity Detection using Unsupervised Learning on Daily Behaviors
作品名稱(其他語言)
著者C. J. Shang; C. Y. Chang; G. L. Chen; S. H. Zhao; J. Z. Lin
單位
出版者
著錄名稱、卷期、頁數IEEE Journal of Biomedical and Health Informatics, p.1-12
摘要The irregularity detection of daily behaviors for the
elderly is an important issue in homecare. Plenty of mechanisms
have been developed to detect the health condition of the elderly
based on the explicit irregularity of several biomedical parameters
or some specific behaviors. However, few researches focus on
detecting the implicit irregularity involving the combination of
diverse behaviors, which can assess the cognitive and physical
wellbeing of elders but cannot be directly identified based on sensor
data. This paper proposes an Implicit IRregularity Detection (IIRD)
mechanism, which aims to detect the implicit irregularity by
developing the unsupervised learning algorithm based on daily
behaviors. The proposed IIRD mechanism identifies the distance
and similarity between daily behaviors, which are important
features to distinguish the regular and irregular daily behaviors and
detect the implicit irregularity of elderly health condition.
Performance results show that the proposed IIRD outperforms the
existing unsupervised machine learning mechanisms in terms of the
detection accuracy and irregularity recall.
關鍵字Senior citizens;Feature extraction;Biomedical monitoring;Unsupervised learning;Monitoring;Analytical models;Hardware
語言中文
ISSN2168-2194
期刊性質國內
收錄於SCI;
產學合作
通訊作者
審稿制度
國別中華民國
公開徵稿
出版型式,電子版
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