首页    期刊浏览 2024年07月01日 星期一
登录注册

文章基本信息

  • 标题:Experimental Design and Its Posterior Efficiency for the Calibration of Wearable Sensors
  • 本地全文:下载
  • 作者:Lin Ye , Steven W. Su
  • 期刊名称:Journal of Intelligent Learning Systems and Applications
  • 印刷版ISSN:2150-8402
  • 电子版ISSN:2150-8410
  • 出版年度:2015
  • 卷号:07
  • 期号:01
  • 页码:11-20
  • DOI:10.4236/jilsa.2015.71002
  • 语种:English
  • 出版社:Scientific Research Publishing
  • 摘要:This paper investigates experimental design (DoE) for the calibration of the triaxial accelerometers embedded in a wearable micro Inertial Measurement Unit (μ-IMU). Firstly, a new linearization strategy is proposed for the accelerometer model associated with the so-called autocalibration scheme. Then, an effective Icosahedron design is developed, which can achieve both D-optimality and G-optimality for linearized accelerometer model in ideal experimental settings. However, due to various technical limitations, it is often infeasible for the users of wearable sensors to fully implement the proposed experimental scheme. To assess the efficiency of each individual experiment, an index is given in terms of desired experimental characteristic. The proposed experimental scheme has been applied for the autocalibration of a newly developed μ-IMU.
  • 关键词:Wearable Health Monitoring; IMU; Triaxial Accelerometer; Autocalibration; DoE; Modelling; Linerization
国家哲学社会科学文献中心版权所有