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An Application Using a BLE Beacon Model Combined with Fully Autonomous Wheelchair Control

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Book cover Complex, Intelligent, and Software Intensive Systems (CISIS 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 611))

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Abstract

This paper describes a novel technology for controlling a fully autonomous wheelchair, using a Bluetooth Low Energy (BLE) beacon. Our framework, in particular, enables the beacon substrate (Received Signal Strength Indicator) to allow machine learning for fully autonomous wheelchair control, namely for the beacon model. Location awareness is computed for the smooth locomotion control of a motorized wheelchair. As a result, low current consumption is achieved to allow lasting battery life. In this paper, we provide several results relevant to this, and future remarks.

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References

  1. Krizhevsky, A., Sutsever, I., Hinton, G.: ImageNet classification with deep convolution neural networks. In: Proceedings of the Advances in Neural Information Processing Systems, vol. 25 (2012)

    Google Scholar 

  2. http://www.nvidia.com/object/autonmous-cars.html

  3. Mehl, R.: The Automotive Industry as a Digital Business. NTT Innovation Institute Inc., CA (2016)

    Google Scholar 

  4. Automated Driving Roadmap: ERTRAC task force (connectivity and automated driving) (2015)

    Google Scholar 

  5. Gillespie, T.: Fundamental of vehicle dynamics. SAE International (1992)

    Google Scholar 

  6. Mamadou, M., Sorkati, A.: Optimization for energy efficient cooperative adaptive cruise control, Master thesis in Chalmers University of Technology, (2016)

    Google Scholar 

  7. http://whill.us/about-company/

  8. Quan, W., Niwa, H., Ishikawa, N., Kobayashi, Y., Kuno, Y.: Assisted care robot based on sociological interaction analysis. Comput. Hum. Behav. (Elsvier) 27(5), 1527–1534 (2011)

    Google Scholar 

  9. Hemanchandra, S., Walter, M.: Learning semantic maps through dialogue for a voice-commendable wheelchair. In: Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) Workshop on Rehabilitation and Assistive Robotics, Chicago (2014)

    Google Scholar 

  10. Dempster, A., Laird, N., Rubin, D.: Maximum Likelihood from incomplete data via EM algorithm. J. R. Stat. Soc. Ser. B (Methodological) 39(1), 1–38 (1977)

    Google Scholar 

  11. Kamal, K., Imura, J., Hayakawa, T., Ohata, A., Aihara, K.: Smart driving of a vehicle using model predictive control for improving traffic flow. IEEE Trans. Intell. Transp. Syst. 15(2), 878–888 (2014)

    Google Scholar 

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Acknowledgments

The authors would like to thank Mr. Syoji Isobe (Honda Automobile R&D Center, Tochigi) for useful and insightful suggestions.

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Authors and Affiliations

  1. Honda R&D Co. Ltd., Tochigi, Japan

    Shugo Miyamoto, Takamasa Koshizen & Koji Uno

  2. Imasen Electric Industrial Co. Ltd., Inuyama, Japan

    Takanari Matsumoto, Hiroaki Kawase, Makoto Higuchi & Yasuo Torimoto

  3. Toho University, Tokyo, Japan

    Fumiaki Sato

Authors
  1. Shugo Miyamoto
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  2. Takamasa Koshizen
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  3. Takanari Matsumoto
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  4. Hiroaki Kawase
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  5. Makoto Higuchi
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  6. Yasuo Torimoto
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  7. Koji Uno
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  8. Fumiaki Sato
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Corresponding author

Correspondence to Takamasa Koshizen .

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Editors and Affiliations

  1. Department of Information and Communication Engineering, Faculty of Information Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Politècnico di Torino, Istituto Superiore Mario Boella, Turin, Italy

    Olivier Terzo

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Miyamoto, S. et al. (2018). An Application Using a BLE Beacon Model Combined with Fully Autonomous Wheelchair Control. In: Barolli, L., Terzo, O. (eds) Complex, Intelligent, and Software Intensive Systems. CISIS 2017. Advances in Intelligent Systems and Computing, vol 611. Springer, Cham. https://doi.org/10.1007/978-3-319-61566-0_30

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  • DOI: https://doi.org/10.1007/978-3-319-61566-0_30

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-61565-3

  • Online ISBN: 978-3-319-61566-0

  • eBook Packages: EngineeringEngineering (R0)

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