Skip to main content
SpringerLink
Log in

Introduction

  • Chapter
  • First Online:
Toward Brain-Computer Interaction in Paralysis

Part of the book series: Human–Computer Interaction Series ((BRIEFSHUMAN))

  • 492 Accesses

Abstract

Nowadays, the interaction between humans beings and machines, or Human-machine interaction (HMI), has reached a high level of development, as can be observed in devices with touchscreen interfaces or wireless keyboards.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
eBook
USD 16.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 16.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    For details, please refer to www.alsa.org.

  2. 2.

    In 2015, several cases of patients presenting Zika virus was detected in Brazil [5] and an unusual increase of GBS also was reported in the Northeast of the country; possible associations began to be investigated (www.who.int).

References

  1. Huggins J, Wren P, Gruis K (2011) What would brain-computer interface users want? opinions and priorities of potential users with amyotrophic lateral sclerosis. Amyotroph Lateral Scler 12(5):318–4

    Google Scholar 

  2. Bushby K, Finkel R, Birnkrant DJ, Case LE, Clemens PR, Cripe L, Kaul A, Kinnett K, McDonald C, Pandya S, Poysky J, Shapiro F, Tomezsko J, Constantin C (2010) Diagnosis and management of duchenne muscular dystrophy, part 1: diagnosis, and pharmacological and psychosocial management. Lancet Neurol 9(1):77–93

    Article  Google Scholar 

  3. Birbaumer N (2005) Breaking the silence: braincomputer interfaces (bci) for communication and motor control. Psychophy 43(6):517–32

    Google Scholar 

  4. Nijboer F, Broermann U (2010) Braincomputer interfaces for communication and control in locked-in patients. In: Graimann B, Allison B, Pfurtscheller G (eds) Brain-computer interfaces, revolutionizing humancomputer interaction. Springer, Mineapolis, pp 186–201

    Google Scholar 

  5. Zanluca C, Melo VCAd, Mosimann ALP, Santos GIVd, Santos CNDd, Luz K (2015) First report of autochthonous transmission of zika virus in brazil. Mem Inst Instituto Oswaldo Cruz 110:569–72

    Google Scholar 

  6. Laureys S (2005) Death, unconsciousness and the brain. Nat Rev Neurosci 6:899–909

    Article  Google Scholar 

  7. Gantner I, Bodart O, Laureys S, Demertzi A (2013) Our rapidly changing understanding of acute and chronic disorders of consciousness: challenges for neurologists. Futur Neurol 8(1):43–54

    Article  Google Scholar 

  8. Benevides A (2013) A brain-computer interface architecture based on motor mental tasks and music imagery. Federal University of Espirto Santo—Ph.D Thesis, Vitoria ES, Brazil

    Google Scholar 

  9. Riccio A, Mattia D, Simione L, Olivetti M, Cincotti F (2012) Eye-gaze independent eeg-based brain-computer interfaces for communication. J Neural Eng 9(4):1–15

    Article  Google Scholar 

  10. Marchetti M, Priftis K (2014) Braincomputer interfaces in amyotrophic lateral sclerosis: a metanalysis. Clin Neurophysiol 126(6):1255–63

    Google Scholar 

  11. Ferreira A (2008) Uma proposta de interface crebro-computador para comando de cadeiras de rodas. Federal University of Espirto Santo—Ph.D Thesis, Vitoria ES, Brazil

    Google Scholar 

  12. Muller S (2010) Interface Cerebro-Computador Baseada em Potenciais Evocados Visuais em Regime Permanente para Comando de uma Cadeira de Rodas Robotica. Federal University of Espirto Santo—Ph.D Thesis, Vitoria ES, Brazil

    Google Scholar 

  13. Bastos T, Ferreira A, Cotrina A, Arjunan S, Kumar D (2012) Evaluation of feature extraction techniques in emotional state recognition. In: 4th international conference on intelligent human computer interaction (IHCI), pp 1–6. IEEE, Kharagpur, India

    Google Scholar 

  14. Cotrina A, Benevides AB, Ferreira A, Bastos T (2013) Eeg evaluation during emotional state elicited by unpleasant sounds to be applied in BCI. In: Proceedings of the 5th international brain-computer interface meeting, pp 166–167. Asilomar CA, USA

    Google Scholar 

  15. Cotrina A, Bastos T, Ferreira A, Benevides A, Castillo J, Rojas D, Benevides A (2014) Towards a SSVEP-BCI based on depth of field. In: Proceedings of the 6th international BCI conference, pp 1–6. TU Graz, Graz, Austria

    Google Scholar 

  16. Cotrina A, Benevides AB, Castillo J, Ferreira A, Bastos T (2015) Statistical evaluation of a novel ssvep-bci stimulation setup based on depth-of-field. Res Biomed Eng 31(4):295–306

    Article  Google Scholar 

  17. Cotrina A, Benevides A, Pereira CE, Bastos T (2016) Towards a BCI based on vergence eye movements. In: Proceedings of the 6th international brain-computer interface meeting, p 200. Asilomar CA, USA

    Google Scholar 

  18. Howard I (2012) Perceiving in depth: volume 1 basic mechanisms. Oxford University Press, New York

    Google Scholar 

  19. Pentland AP (1987) A new sense for depth of field. IEEE Trans Pattern Anal Mach Intell 9(4):523–31

    Google Scholar 

  20. Ebenholtz SM (2001) Oculomotor systems and perception. Cambridge University Press, Cambridge

    Book  Google Scholar 

  21. Gregory RL (1997) Eye and brain, the psychology of seeing, 5th edn. Princeton University Press, New Jersey

    Google Scholar 

  22. Songnian Z, Qi Z, Chang L, Xuemin L, Shousi S, Jun Q (2014) The representation of visual depth perception based on the plenoptic function in the retina and its neural computation in visual cortex v1. BMC Neurosci 15(1):1–17

    Article  Google Scholar 

  23. Sokol S, Moskowitz A (1981) Effect of retinal blur on the peak latency of the pattern evoked potential. Vis Res 21(8):1279–86

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Computer and Electronics, Universidade Federal do Espírito Santo, Sao Mateus, Espírito Santo, Brazil

    Anibal Cotrina

Authors
  1. Anibal Cotrina
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Anibal Cotrina .

Rights and permissions

Reprints and permissions

Copyright information

© 2017 The Author(s)

About this chapter

Cite this chapter

Cotrina, A. (2017). Introduction. In: Toward Brain-Computer Interaction in Paralysis. Human–Computer Interaction Series(). Springer, Cham. https://doi.org/10.1007/978-3-319-52298-2_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-52298-2_1

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-52297-5

  • Online ISBN: 978-3-319-52298-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation