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International Conference on Internet and Distributed Computing Systems

IDCS 2016: Internet and Distributed Computing Systems pp 107–118Cite as

Cloud-Based Wheelchair Assist System for Mobility Impaired Individuals

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9864))

Abstract

This paper proposes a new cloud-based wheelchair assist system to support user mobility of impaired people. The smart wheelchair system is equipped with a pressure sensor cushion and accelerometer for posture detection, GPS for localization purposes, and accelerometer for wheelchair status monitoring. Moreover, impaired people are equipped with a body area network to better support user mobility and independence. Our non-invasive system collects accelerometer, pressure data, and GPS signals to recognize user’s daily activities, to track his/her location and to monitor wheelchair status. The proposed system was prototyped using the BodyCloud middleware so as to allow caregivers real-time access to the information generated by the smart wheelchair system. Finally, a case study is proposed to show the effectiveness of the assist system in extracting useful information by using multi-sensor data fusion.

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Acknowledgments

The research is financially supported by China-Italy S&T Cooperation project “Smart Personal Mobility Systems for Human Disabilities in Future Smart Cities” (China-side Project ID: 2015DFG12210, Italy-side Project ID: CN13MO7). And also Wuhan University of Technology Graduate Student Innovation Research Project (Project ID: 2015-JL-016).

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Authors and Affiliations

  1. School of Logistics Engineering, Wuhan University of Technology, Wuhan, People’s Republic of China

    Congcong Ma, Wenfeng Li & Jingjing Cao

  2. Department of Informatics, Modeling, Electronics and Systems, University of Calabria, Rende, Italy

    Raffaele Gravina & Giancarlo Fortino

Authors
  1. Congcong Ma
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  2. Wenfeng Li
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  3. Jingjing Cao
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  4. Raffaele Gravina
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  5. Giancarlo Fortino
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Corresponding author

Correspondence to Wenfeng Li .

Editor information

Editors and Affiliations

  1. Wuhan University of Technology , Wuhan, China

    Wenfeng Li

  2. Central Queensland University , North Rockhampton, Queensland, Australia

    Shawkat Ali

  3. Delft University of Technology , Delft, The Netherlands

    Gabriel Lodewijks

  4. University of Calabria , Rende (CS), Italy

    Giancarlo Fortino

  5. University of Reading , Reading, United Kingdom

    Giuseppe Di Fatta

  6. Huazhong University of Science and Technology, Wuhan, China

    Zhouping Yin

  7. CSIRO ICT , Acton, Australia

    Mukaddim Pathan

  8. ICAR-CNR, Rende (CS), Italy

    Antonio Guerrieri

  9. Wuhan University of Technology , Wuhan, China

    Qiang Wang

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Cite this paper

Ma, C., Li, W., Cao, J., Gravina, R., Fortino, G. (2016). Cloud-Based Wheelchair Assist System for Mobility Impaired Individuals. In: Li, W., et al. Internet and Distributed Computing Systems. IDCS 2016. Lecture Notes in Computer Science(), vol 9864. Springer, Cham. https://doi.org/10.1007/978-3-319-45940-0_10

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  • DOI: https://doi.org/10.1007/978-3-319-45940-0_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-45939-4

  • Online ISBN: 978-3-319-45940-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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