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108
學期1
出版(發表)日期2020/01/06
作品名稱Implicit Irregularity Detection Using Unsupervised Learning on Daily Behaviors
作品名稱(其他語言)
著者Cuijuan Shang; Chih-Yung Chang; Guilin Chen; Shenghui Zhao; Jiazao Lin
單位
出版者
著錄名稱、卷期、頁數IEEE Journal of Biomedical and Health Informatics 24(1), p.131-143
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 research works 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 that 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
語言英文(美國)
ISSN
期刊性質國外
收錄於
產學合作
通訊作者Chih-Yung Chang
審稿制度
國別美國
公開徵稿
出版型式,電子版
相關連結
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