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Activity Recognition in IoT

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Self-Powered Internet of Things

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

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Abstract

Due to the advancements in technology and microelectromechanical systems, there is an exceptional development in the capabilities of sensors and smart devices. Nowadays people interact with these devices regularly in their daily lives due to the enhanced computational power, compact size, user-friendly interface and reduced cost of these devices.

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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

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  1. Muhammad Moid Sandhu
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  2. Sara Khalifa
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  4. Raja Jurdak
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Correspondence to Muhammad Moid Sandhu .

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Sandhu, M.M., Khalifa, S., Portmann, M., Jurdak, R. (2023). Activity Recognition in IoT. In: Self-Powered Internet of Things. Green Energy and Technology. Springer, Cham. https://doi.org/10.1007/978-3-031-27685-9_2

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  • DOI: https://doi.org/10.1007/978-3-031-27685-9_2

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