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BODYNETS 2015
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    BODYNETS

    10th EAI International Conference on Body Area Networks

    BodyNets 2015 aims to provide a world-leading and unique opportunity for bringing together researchers and practitioners from diverse disciplines to plan, analyze, design, build, deploy and experiment with/on body area networks (BANs).

    BodyNets 2015 aims to provide a world-leading and unique opportunity for bringing together researchers and practitioners from diverse disciplines to plan, analyze, design, build, deploy and experiment with/on body area networks (BANs).

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    Editor(s): Eryk Dutkiewicz (Macquarie University, Sydney NSW 2109), Ren Ping Liu (CSIRO, Cnr Vimiera and Pembroke Roads, Marsfield, Australia, NSW 2122), Honggang Wang (University of Massachusetts, 66 N Lake Ave, Worcester, MA 01605, United States), Qi Zhang (Aarhus University, Nordre Ringgade 1, 8000 Aarhus C, Denmark), Giancarlo Fortino (University of Calabria, Via Pietro Bucci, 87036 Arcavacata, Rende CS, Italy), Ladislau Matekovits (Politecnico di Torino, Corso Duca degli Abruzzi, 24, 10129 Torino, Italy), Matti Hämäläinen (University of Oulu, Erkki Koiso-Kanttilan katu 3 Linnanmaa 90570, Oulu, Finland) and Wei Ni (CSIRO, Cnr Vimiera and Pembroke Roads, Marsfield, Australia, NSW 2122)
    Publisher
    ICST
    ISBN
    978-1-63190-084-6
    ISSN
    -
    Conference dates
    28th–30th Sep 2015
    Location
    Sydney, Australia
    Appeared in EUDL
    2015-12-14

    Copyright © 2015–2025 ICST

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    • Signal Interference Analysis Model In Near-Field Coupling Communication

      Research Article in 10th EAI International Conference on Body Area Networks

      Shin Hasegawa, Yuichi Kado, Ibuki Yokota, Masaki Ishida, Hitoshi Shimasaki, Mitsuru Shinagawa
    • Simultaneous Estimation of WCE Moving Distance and Heading Direction Based on RSSI-based Localization

      Research Article in 10th EAI International Conference on Body Area Networks

      Takahiro Ito, Daisuke Anzai, Jianqing Wang
    • Stretchable and Highly Conductive Carbon Nanotube-Graphene Hybrid Yarns for Wearable Systems

      Research Article in 10th EAI International Conference on Body Area Networks

      Syed Muzahir Abbas, Javad Foroughi, Yogesh Ranga, Ladislau Matekovits, Karu Esselle, Stuart Hay, Michael Heimlich, Farzad Safaei
    • Subthreshold Energy Harvesters Circuits for Biomedical Implants Applications

      Research Article in 10th EAI International Conference on Body Area Networks

      Meriam Gay Bautista, Eryk Dutkiewicz, Michael Heimlich
    • Support Vector Machines for Young and Older Gait Classification using Inertial Sensor Kinematics at Minimum Toe Clearance

      Research Article in 10th EAI International Conference on Body Area Networks

      Braveena Santhiranayagam, Daniel Lai, Rezaul Begg
    • The Speckled Cellist : Classification of Cello Bowing Techniques using the Orient Specks

      Research Article in 10th EAI International Conference on Body Area Networks

      Debadri Mukherjee, DK Arvind
    • Toward Detection and Monitoring of Gait Pathology using Inertial Sensors under Rotation, Scale, and Offset Invariant Dynamic Time Warping

      Research Article in 10th EAI International Conference on Body Area Networks

      Matthew Engelhard, Sriram Raju Dandu, John Lach, Myla Goldman, Stephen Patek
    • Towards Implantable Body Sensor Networks - Performance of MICS Band Radio Communication in Animal Tissue

      Research Article in 10th EAI International Conference on Body Area Networks

      Vignesh Raja Karuppiah Ramachandran, Kui Zhang, Nirvana Meratnia, Paul Havinga
    • Transmission Policies for Energy Harvesting Sensors Based on Markov Chain Energy Supply

      Research Article in 10th EAI International Conference on Body Area Networks

      Wenxiang Zhu, Pingping Xu, Maozong Zheng, Guilu Wu, Honglei Wang
    • Using Cloud-assisted Body Area Networks to Track People Physical Activity in Mobility

      Research Article in 10th EAI International Conference on Body Area Networks

      Giancarlo Fortino, Raffaele Gravina, Wenfeng Li, Concgong Ma Ma
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