• DocumentCode
    2109290
  • Title

    Time synchronization and data fusion for RGB-Depth cameras and inertial sensors in AAL applications

  • Author

    Cippitelli, Enea ; Gasparrini, Samuele ; Gambi, Ennio ; Spinsante, Susanna ; Wahsleny, Jonas ; Orhany, Ibrahim ; Lindhy, Thomas

  • Author_Institution
    Dipartimento di Ingegneria dell´Informazione, Universita´ Politecnica delle Marche, Ancona, Italy I-60131
  • fYear
    2015
  • fDate
    8-12 June 2015
  • Firstpage
    265
  • Lastpage
    270
  • Abstract
    Ambient Assisted Living applications often need to integrate data from multiple sensors, to provide consistent information on the observed phenomena. Data fusion based on samples from several sensors requires accurate time synchronization with sufficient resolution, depending on the sensor sampling frequency. This work presents a technical platform for the efficient and accurate synchronization of the data captured from RGB-Depth cameras and wearable inertial sensors, that can be integrated in AAL solutions. A case study of sensor data fusion for Timed Up and Go test is also presented and discussed.
  • Keywords
    Acceleration; Cameras; Joints; Light emitting diodes; Sensors; Synchronization; data fusion; depth camera; inertial sensor; synchronization; timed up and go;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Workshop (ICCW), 2015 IEEE International Conference on
  • Conference_Location
    London, United Kingdom
  • Type

    conf

  • DOI
    10.1109/ICCW.2015.7247189
  • Filename
    7247189