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Energy-Positive Activity Recognition: Future Directions

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Self-Powered Internet of Things

Part of the book series: Green Energy and Technology ((GREEN))

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Abstract

This book has presented various mechanisms for self-powered activity recognition in IoT. Conventional activity recognition systems use various activity sensors such as accelerometers, magnetometers and gyroscopes for wearable-based activity recognition.

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Author information

Authors and Affiliations

  1. Australian e-Health Research Centre (AEHRC), Commonwealth Scientific and Industrial Research Organisation (CSIRO), Herston, QLD, Australia

    Muhammad Moid Sandhu

  2. Commonwealth Scientific and Industrial Research Organisation (CSIRO), Data61, Pullenvale, QLD, Australia

    Sara Khalifa

  3. School of Information Technology and Electrical Engineering, University of Queensland, St. Lucia, QLD, Australia

    Marius Portmann

  4. School of Computer Science, Queensland University of Technology, Brisbane, QLD, Australia

    Raja Jurdak

Authors
  1. Muhammad Moid Sandhu
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  2. Sara Khalifa
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  3. Marius Portmann
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  4. Raja Jurdak
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Corresponding author

Correspondence to Muhammad Moid Sandhu .

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Sandhu, M.M., Khalifa, S., Portmann, M., Jurdak, R. (2023). Energy-Positive Activity Recognition: Future Directions. In: Self-Powered Internet of Things. Green Energy and Technology. Springer, Cham. https://doi.org/10.1007/978-3-031-27685-9_8

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  • DOI: https://doi.org/10.1007/978-3-031-27685-9_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-27684-2

  • Online ISBN: 978-3-031-27685-9

  • eBook Packages: EnergyEnergy (R0)

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