國家衛生研究院 NHRI:Item 3990099045/16270
English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 12189/12972 (94%)
造访人次 : 973829      在线人数 : 1074
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
搜寻范围 查询小技巧：
  • 您可在西文检索词汇前后加上"双引号"，以获取较精准的检索结果
  • 若欲以作者姓名搜寻，建议至进阶搜寻限定作者字段，可获得较完整数据
    •  进阶搜寻
    主页 ‧ 登入 ‧ 上传 ‧ 说明 ‧ 关于NHRI ‧ 管理 到手机版


    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: http://ir.nhri.org.tw/handle/3990099045/16270


    题名: AI-powered home cage system for real-time tracking and analysis of rodent behavior
    作者: Hsieh, CM;Hsu, CH;Chen, JK;Liao, LD
    贡献者: Institute of Biomedical Engineering and Nanomedicine;Laboratory Animal Center
    摘要: Researchers in animal behavior and neuroscience devote considerable time to observing rodents behavior and physiological responses, with AI monitoring systems reducing personnel workload. This study presents the RodentWatch (RW) system, which leverages deep learning to automatically identify experimental animal behaviors in home cage environments. A single multifunctional camera and edge device are installed inside the animal's home cage, allowing continuous real-time monitoring of the animal's behavior, position, and body temperature for extended periods. We investigated identifying the drinking and resting behaviors of rats, with recognition accuracy enhanced through contextual object labeling and modified non-maximum suppression (NMS) schemes. Two tests-a light cycle change test and a sucrose preference test-were conducted to evaluate the usability of this system in rat behavioral experiments. This system enables notable advancements in image-based behavior recognition for living rodents.
    日期: 2024-11-15
    關聯: iScience. 2024 Nov 15;27(11):Article number 111223.
    Link to: http://dx.doi.org/10.1016/j.isci.2024.111223
    JIF/Ranking 2023: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=NHRI&SrcApp=NHRI_IR&KeyISSN=2589-0042&DestApp=IC2JCR
    Cited Times(WOS): https://www.webofscience.com/wos/woscc/full-record/WOS:001356774800001
    Cited Times(Scopus): https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85208564587
    显示于类别:[廖倫德] 期刊論文
    [陳仁焜] 期刊論文
    [其他] 期刊論文

    文件中的档案:

    档案 描述 大小格式浏览次数
    ISI001356774800001.pdf7488KbAdobe PDF5检视/开启


    在NHRI中所有的数据项都受到原著作权保护.

    TAIR相关文章

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - 回馈