• DocumentCode
    688413
  • Title

    A Nonintrusive and Single-Point Infrastructure-Mediated Sensing Approach for Water-Use Activity Recognition

  • Author

    Lisha Hu ; Yiqiang Chen ; Shuangquan Wang ; Liping Jia

  • Author_Institution
    Inst. of Comput. Technol., Beijing, China
  • fYear
    2013
  • fDate
    13-15 Nov. 2013
  • Firstpage
    2120
  • Lastpage
    2126
  • Abstract
    Recent years, a variety of infrastructure-mediated sensing methods have been proposed to recognize activities of daily living (ADLs). However, due to the inconvenience such as high-cost, difficult-to-install, intrusive and applicable to the house with specific architectures alone, existing water-use activity recognition methods cannot be widely used into people´s houses. In this paper, a single-point infrastructure-mediated sensing technique is proposed for water-use activity recognition. A single 3-axis accelerometer sensor is attached to the surface of the main water pipe in the house to detect and collect the vibration signals of the main water pipe. These signal data are then processed through six modules in the proposed activity recognition system. Four classes of water-use activities (Bathing, Flushing toilet, Cooking and Washing) are classified by the system and experimental results show that our system can recognize about 70.37% water-use activities.
  • Keywords
    accelerometers; mechanical engineering computing; pipes; signal detection; vibrations; water supply; 3 axis accelerometer sensor; ADL; daily living activity recognition; elder daily activities monitoring; nonintrusive sensing approach; single point infrastructure mediated sensing approach; ubiquitous computing; vibration signal collection; water pipe; water use activity recognition; Accelerometers; Feature extraction; Sensors; Standards; Support vector machines; Testing; Time series analysis; infrastructure-mediated sensing; machine learning; nonintrusive; water-use activity recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    High Performance Computing and Communications & 2013 IEEE International Conference on Embedded and Ubiquitous Computing (HPCC_EUC), 2013 IEEE 10th International Conference on
  • Conference_Location
    Zhangjiajie
  • Type

    conf

  • DOI
    10.1109/HPCC.and.EUC.2013.304
  • Filename
    6832187