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:BIA: Behavior Identification Algorithm Using Unsupervised Learning Based on Sensor Data for Home Elderly
學年108
學期2
出版(發表)日期2020/06/05
作品名稱BIA: Behavior Identification Algorithm Using Unsupervised Learning Based on Sensor Data for Home Elderly
作品名稱(其他語言)
著者Cuijuan Shang; Chih-Yung Chang; Guilin Chen; Shenghui Zhao; Haibao Chen
單位
出版者
著錄名稱、卷期、頁數IEEE Journal of Biomedical and Health Informatics 24(6), p.1589-1600
摘要Behavior identification plays an important role in supporting homecare for the elderly living alone. In literature, plenty of algorithms have been designed to identify behaviors of the elderly by learning features or extracting patterns from sensor data. However, most of them adopted probabilistic models or supervised learning to identify behaviors based on labeled sensor data. This paper proposes a behavior identification algorithm ( BIA ) using unsupervised learning based on unlabeled sensor data for the elderly living alone in smart home. This paper presents the observation of elder behaviors with three features: Event Order , Time Length Similarity and Time Interval Similarity features. Based on these features of behavior observations, two properties of behaviors, including the Event Shift and Histogram Shape Similarity properties, are presented. According to these properties, the proposed BIA is developed. Finally, performance results show that the proposed BIA outperforms the existing unsupervised machine learning mechanisms in terms of the behavior identification precision and recall.
關鍵字Senior citizens;Hidden Markov models;Smart homes;Histograms;Clustering algorithms;Unsupervised learning;Probabilistic logic
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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