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    Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/107307


    Title: Statistical anomaly detection for individuals with cognitive impairments
    Authors: 周立德;Chang, Yao-Jen;Lin, Kang-Ping;Chou, Li-Der;Chen, Shu-Fang;Ma, Tian-Shyan
    Contributors: 資訊電機學院資訊工程學系
    Keywords: Adult;Anomaly detection;Cognition Disorders - rehabilitation;cognitive Impairments;Employment;Female;Geographic Information Systems;Global Positioning System;GPS;Humans;Indexes;Kalman filters;Male;Middle Aged;Monitoring, Ambulatory - methods;Monitoring, Ambulatory - standards;Reproducibility of Results;Trajectory;Transportation;Young Adult
    Date: 2014-01-01
    Issue Date: 2026-04-23 14:07:01 (UTC+8)
    Publisher: Institute of Electrical and Electronics Engineers Inc.;United States: IEEE
    Abstract: 摘要: We study anomaly detection in a context that considers user trajectories as input and tries to identify anomalies for users following normal routes such as taking public transportation from the workplace to home or vice versa. Trajectories are modeled as a discrete-time series of axis-parallel constraints ("boxes") in the 2-D space. The anomaly can be estimated by considering two trajectories, where one trajectory is the current movement pattern and the other is a weighted trajectory collected from N norms. The proposed system was implemented and evaluated with eight individuals with cognitive impairments. The experimental results showed that recall was 95.0% and precision was 90.9% on average without false alarm suppression. False alarms and false negatives dropped when axis rotation was applied. The precision with axis rotation was 97.6% and the recall was 98.8%. The average time used for sending locations, running anomaly detection, and issuing warnings was in the range of 15.1-22.7 s. Our findings suggest that the ability to adapt anomaly detection devices for appropriate timing of self-alerts will be particularly important.
    其他題名: JBHI
    其他題名: IEEE J Biomed Health Inform
    出版者: United States: IEEE
    出版日期: 2014-01
    出處: IEEE journal of biomedical and health informatics, 2014-01, Vol.18 (1), p.384-390
    資源來源: IEL(IEEE/IET Electronic Library )
    版權: Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Jan 2014
    識別號: ISSN: 2168-2194
    識別號: ISSN: 2168-2208
    識別號: EISSN: 2168-2208
    識別號: DOI: 10.1109/JBHI.2013.2271695
    識別號: PMID: 24403438
    識別號: CODEN: IJBHA9
    Appears in Collections:[Department of Computer Science and information Engineering] journal & Dissertation

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