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Devices and Application Tools for Activity Recognition: Sensor Deployment and Primary Concerns

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IoT Sensor-Based Activity Recognition

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 173))

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Abstract

Sensory modality is a primary concern in sensor-based activity recognition research. The usage of wearable devices and utilizing embedded smartphone sensor data to recognize daily activities has become famous in this research field nowadays. This chapter deals with the challenges of choosing an appropriate sensing device and application tools for data collection. Sensing devices used in previous activity recognition research works have been described in detail with their hardware and software specification. Finally, the description and parameters of some important sensors (accelerometer, gyroscope, etc.) have been given.

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Author information

Authors and Affiliations

  1. Osaka University, Osaka, Japan

    Md Atiqur Rahman Ahad

  2. University of Dhaka, Dhaka, Bangladesh

    Md Atiqur Rahman Ahad

  3. University of Michigan, Ann Arbor, Michigan, USA

    Anindya Das Antar

  4. University of Maryland Baltimore County, Maryland, USA

    Masud Ahmed

Authors
  1. Md Atiqur Rahman Ahad
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  2. Anindya Das Antar
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  3. Masud Ahmed
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Corresponding author

Correspondence to Md Atiqur Rahman Ahad .

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Ahad, M.A.R., Antar, A.D., Ahmed, M. (2021). Devices and Application Tools for Activity Recognition: Sensor Deployment and Primary Concerns. In: IoT Sensor-Based Activity Recognition. Intelligent Systems Reference Library, vol 173. Springer, Cham. https://doi.org/10.1007/978-3-030-51379-5_5

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