• DocumentCode
    2619940
  • Title

    jNode: A sensor network platform that supports distributed inertial kinematic monitoring

  • Author

    Scholl, Philipp M. ; Van Laerhoven, Kristof ; Gordon, Dawud ; Scholz, Markus ; Berning, Matthias

  • fYear
    2012
  • fDate
    11-14 June 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Because of the intrinsic advantages of wireless inertial motion tracking, standalone devices that integrate inertial motion units with wireless networking capabilities have gained much interest in recent years. Several platforms, both commercially available and academic, have been proposed to balance the challenges of a small form-factor, power consumption, accuracy and processing speed. Applications include ambulatory monitoring to support healthcare, sport activity analysis, recognizing human group behaviour, navigation support for humans, robots and unmanned vehicles, but also in structural monitoring of large buildings. This paper provides an analysis of the current state-of-the-art platforms in wireless inertial motion tracking and presents a novel open-source and open-hardware hybrid tracking platform that is extensible, low-power, flexible enough to be used for both short- and long-term monitoring and based on a firmware that allows it to be easily adapted after being deployed.
  • Keywords
    computerised monitoring; firmware; kinematics; public domain software; wireless sensor networks; ambulatory monitoring; distributed inertial kinematic monitoring; firmware; healthcare; human group behaviour recognition; human navigation support; open-hardware hybrid tracking platform; open-source hybrid tracking platform; power consumption; robot; sport activity analysis; structural monitoring; unmanned vehicle; wireless inertial motion tracking; wireless sensor network platform; Ad hoc networks; Humans; Monitoring; Peer to peer computing; Synchronization; Wireless communication; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networked Sensing Systems (INSS), 2012 Ninth International Conference on
  • Conference_Location
    Antwerp
  • Print_ISBN
    978-1-4673-1784-9
  • Electronic_ISBN
    978-1-4673-1785-6
  • Type

    conf

  • DOI
    10.1109/INSS.2012.6240553
  • Filename
    6240553