• DocumentCode
    1819554
  • Title

    Wireless Inertial Sensors for Monitoring Animal Behavior

  • Author

    Venkatraman, S. ; Long, J.D. ; Pister, K.S.J. ; Carmena, J.M.

  • Author_Institution
    Univ. of California, Berkeley
  • fYear
    2007
  • fDate
    22-26 Aug. 2007
  • Firstpage
    378
  • Lastpage
    381
  • Abstract
    Wireless sensors were designed which are small and light enough to be worn by small animals such as rats. These sensors are used to record three axes acceleration data from animals during natural behavior in a cage. The behavior of the animal is further extracted from the recorded acceleration data using neural network based pattern recognition algorithms. Successful recognition of eating, grooming and standing are demonstrated using this approach. Finally another potential application of this research is demonstrated in behavioral neuroscience by showing correlations between action potentials recorded from the motor cortex of a rat and acceleration data.
  • Keywords
    accelerometers; behavioural sciences; bioelectric potentials; biomedical equipment; brain; medical signal processing; neural nets; neurophysiology; patient monitoring; pattern recognition; wireless sensor networks; action potentials; animal behavior monitoring; behavioral neuroscience; eating; grooming; inertial sensors; motor cortex; neural network; pattern recognition; standing; wireless accelerometers; wireless sensors; Acceleration; Animal behavior; Biological neural networks; Data mining; Monitoring; Neuroscience; Pattern recognition; Rats; Wearable sensors; Wireless sensor networks; Action Potentials; Algorithms; Animals; Behavior, Animal; Monitoring, Ambulatory; Motor Cortex; Movement; Neural Networks (Computer); Neurosciences; Radio Waves; Rats; Rats, Sprague-Dawley;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
  • Conference_Location
    Lyon
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-0787-3
  • Type

    conf

  • DOI
    10.1109/IEMBS.2007.4352303
  • Filename
    4352303