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Augmented Robotics for Electronic Wheelchair to Enhance Mobility in Domestic Environment

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Augmented Reality, Virtual Reality, and Computer Graphics (AVR 2017)

Abstract

This paper focuses on the development of a novel Human Machine Interaction strategy based on Augmented Reality for the semi-autonomous navigation of a power wheelchair. The final goal is the development of a shared control, combining direct control by the user with the comfort of an autonomous navigation based on augmented reality markers. A first evaluation has been performed on the real test bed.

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Notes

  1. 1.

    https://www.uco.es/investiga/grupos/ava/node/26.

  2. 2.

    http://opencv.org/.

  3. 3.

    http://www.invacare.com.

  4. 4.

    https://www.sick.com/de/en/product-portfolio/detection-and-ranging-solutions/2d-laser-scanners/nav3xx/c/g91916.

  5. 5.

    http://tobiigaming.com/product/tobii-eyex/.

  6. 6.

    https://www.br-automation.com/en/perfection-in-automation/.

References

  1. Maule, L., Fornaser, A., Leuci, M., Conci, N., Da Lio, M., De Cecco, M.: Development of innovative HMI strategies for eye controlled wheelchairs in virtual reality. In: Paolis, L.T., Mongelli, A. (eds.) AVR 2016. LNCS, vol. 9769, pp. 358–377. Springer, Cham (2016). doi:10.1007/978-3-319-40651-0_29

    Google Scholar 

  2. Fornaser, A., De Cecco, M., Leuci, M., Conci, N., Daldoss, M., Maule, L., De Natale, F., Da Lio, M.: Eye trackers uncertainty analysis and modelling. In: XXIII Convegno Nazionale A.I.VE.LA., Perugia, 12–13 Novembre 2015

    Google Scholar 

  3. Jain, M., Puri, S., Unishree, S.: Eyeball motion controlled wheelchair using IR sensors. Int. J. Comput. Electr. Autom. Control Inf. Eng. 9(4), 906–909 (2015). World Academy of Science, Engineering and Technology

    Google Scholar 

  4. Champaty, B., et al.: Development of EOG based human machine interface control system for motorized wheelchair. In: 2014 Annual International Conference on Emerging Research Areas: Magnetics, Machines and Drives (AICERA/iCMMD). IEEE (2014)

    Google Scholar 

  5. Ktena, S.I., Abbott, W., Aldo Faisal, A.: A virtual reality platform for safe evaluation and training of natural gaze-based wheelchair driving. In: 2015 7th International IEEE/EMBS Conference on Neural Engineering (NER). IEEE (2015)

    Google Scholar 

  6. Armanini, A., Conci, N.: Eye tracking as an accessible assistive tool. In: 2010 11th International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS), 12–14 April 2010, pp. 1–4 (2010)

    Google Scholar 

  7. Mahajan, H.P., et al.: Assessment of wheelchair driving performance in a virtual reality-based simulator. J. Spinal Cord Med. 36(4), 322–332 (2013)

    Article  Google Scholar 

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Correspondence to Luca Maule , Alberto Fornaser , Paolo Tomasin , Mattia Tavernini , Gabriele Minotto , Mauro Da Lio or Mariolino De Cecco .

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Maule, L. et al. (2017). Augmented Robotics for Electronic Wheelchair to Enhance Mobility in Domestic Environment. In: De Paolis, L., Bourdot, P., Mongelli, A. (eds) Augmented Reality, Virtual Reality, and Computer Graphics. AVR 2017. Lecture Notes in Computer Science(), vol 10325. Springer, Cham. https://doi.org/10.1007/978-3-319-60928-7_2

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  • DOI: https://doi.org/10.1007/978-3-319-60928-7_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60927-0

  • Online ISBN: 978-3-319-60928-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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