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Biomechanics Sensor Node for Virtual Reality: A Wearable Device Applied to Gait Recovery for Neurofunctional Rehabilitation

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Computational Science and Its Applications – ICCSA 2020 (ICCSA 2020)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 12255))

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Abstract

In several segments of the health areas, sensing has become a trend. Sensors allow data quantification for use in decision making or even to predict the clinical evolution of a given treatment, such as in rehabilitation therapies to restore patients’ motor and cognitive functions. This paper presents the Biomechanics Sensor Node (BSN), composed of an inertial measurement unit (IMU), developed to infer input information and control virtual environments. We also present a software solution, which integrates the BSN data with Unity Editor, one of the most used game engine nowadays. This asset allows Unity-developed virtual reality applications to use BSN a secure interaction device. Thus, during rehabilitation sessions, the patient receives visual stimuli from the virtual environment, controlled by the BSN device, while the therapist has access to the information about the movements performed in the therapy.

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Notes

  1. 1.

    The Asset is an item (e.g., source code, a 3D model, an audio file or an image) that facilitates to create Unity applications. An asset can be used to build diverse applications. Unity is a cross-platform engine that is used to develop games on multiple platforms.

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Funding

FAPESP (Sao Paulo Research Foundation, Brazil) grant number 2015/03695-5 (grant related to author: A.F.B.). The EMBRAPII (Brazilian Agency for Research and Industrial Innovation) and SEBRAE made a financial contribution to the development of BSN.

Author information

Authors and Affiliations

  1. Institute of Physics Gleb Wataghin, University of Campinas, Campinas, SP, Brazil

    Alexandre Fonseca Brandão & Gabriela Castellano

  2. Brazilian Institute of Neuroscience and Neurotechnology, University of Campinas, Campinas, SP, 13083887, Brazil

    Alexandre Fonseca Brandão, Diego Roberto Colombo Dias, Thomas Beltrame & Gabriela Castellano

  3. Institute for Bioengineering of Catalonia - IBEC, Barcelona, Spain

    Alexandre Fonseca Brandão

  4. Universidade Federal de São João del-Rei, São João del-Rei, MG, Brazil

    Diego Roberto Colombo Dias & Sávyo Toledo Machado Reis

  5. Universidade Federal de São Paulo, São Paulo, SP, Brazil

    Maria Cecilia Moraes Frade, Thomas Beltrame & Marcelo de Paiva Guimarães

  6. Centro Universitário Campo Limpo Paulista - UNIFACCAMP, Campo Limpo Paulista, Brazil

    Marcelo de Paiva Guimarães

  7. Center for Research and Development in Telecommunications (CPqD), Campinas, SP, Brazil

    Clovis Magri Cabreira

Authors
  1. Alexandre Fonseca Brandão
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  2. Diego Roberto Colombo Dias
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  3. Sávyo Toledo Machado Reis
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  4. Clovis Magri Cabreira
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  5. Maria Cecilia Moraes Frade
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  6. Thomas Beltrame
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  7. Marcelo de Paiva Guimarães
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  8. Gabriela Castellano
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Corresponding author

Correspondence to Diego Roberto Colombo Dias .

Editor information

Editors and Affiliations

  1. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. University of Basilicata, Potenza, Potenza, Italy

    Beniamino Murgante

  3. Chair- Center of ICT/ICE, Covenant University, Ota, Nigeria

    Sanjay Misra

  4. University of Cagliari, Cagliari, Italy

    Chiara Garau

  5. University of Cagliari, Cagliari, Italy

    Ivan Blečić

  6. Clayton School of Information Technology, Monash University, Clayton, VIC, Australia

    David Taniar

  7. Department of Information Science, Kyushu Sangyo University, Fukuoka, Japan

    Bernady O. Apduhan

  8. University of Minho, Braga, Portugal

    Ana Maria A. C. Rocha

  9. Polytechnic University of Bari, Bari, Italy

    Eufemia Tarantino

  10. Polytechnic University of Bari, Bari, Italy

    Carmelo Maria Torre

  11. Department of Neurology, University of Massachusetts Medical School, Worcester, MA, USA

    Yeliz Karaca

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Brandão, A.F. et al. (2020). Biomechanics Sensor Node for Virtual Reality: A Wearable Device Applied to Gait Recovery for Neurofunctional Rehabilitation. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2020. ICCSA 2020. Lecture Notes in Computer Science(), vol 12255. Springer, Cham. https://doi.org/10.1007/978-3-030-58820-5_54

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  • DOI: https://doi.org/10.1007/978-3-030-58820-5_54

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-58819-9

  • Online ISBN: 978-3-030-58820-5

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