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A Videogame Driven by the Mind: Are Motor Acts Necessary to Play?

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1129))

Abstract

In this manuscript, the architecture of a PC based videogame driven by just electroencephalographic (EEG) brain signals is described. It bypasses the natural pathways of nerves and muscles, thus theoretically allowing also people affected by severe motor disorders to play with it. It is built on top of a framework designed for implementing neuro-feedback and Brain-Computer Interface (BCI) systems: spontaneous self-induced modifications of the EEG signals are detected and converted into an analog-like value, which is then used to control the speed of a puppet that competes in a virtual race against others whose speed is controlled by the PC. Preliminary results from five healthy volunteers and comparing three different regression rules show that is possible, after a short calibration phase, to take the control of the puppet by performing simple and repetitive motor imagery mental tasks. Actually, it is under testing in clinical contexts, to rehabilitate children affected by ADHD syndrome and autism but it can be also used as an inclusive game, to allow motor disabled people to play with the same rules with their acquaintances, relatives, and friends.

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References

  1. Johnstone, S.J., Roodenrys, S.J., Johnson, K., Bonfield, R., Bennett, S.J.: Game-based combined cognitive and neurofeedback training using Focus Pocus reduces symptom severity in children with diagnosed AD/HD and subclinical AD/HD. Int. J. Psychophysiol. 116, 32–44 (2017)

    Article  Google Scholar 

  2. Bakhtadze, S., Beridze, M., Geladze, N., Khachapuridze, N., Bornstein, N.: Effect of EEG biofeedback on cognitive flexibility in children with attention deficit hyperactivity disorder with and without epilepsy. Appl. Psychophysiol. Biofeedback 41(1), 71–79 (2016)

    Article  Google Scholar 

  3. Marzbani, H., Marateb, H.R., Mansourian, M.: Neurofeedback: a comprehensive review on system design, methodology and clinical applications. Basic Clin. Neurosci. 7(2), 143–158 (2016)

    Google Scholar 

  4. Nan, W., Wan, F., Chang, L., Pun, S.H., Vai, M.I., Rosa, A.: An exploratory study of intensive neurofeedback training for schizophrenia. Behav. Neurol. 2017(2), 1–6 (2017)

    Article  Google Scholar 

  5. Alves-Pinto, A., Turova, V., Blumenstein, T., Hantuschke, C., Lampe, R.: Implicit learning of a finger motor sequence by patients with cerebral palsy after neurofeedback. Appl. Psychophysiol. Biofeedback 42(1), 27–37 (2017)

    Article  Google Scholar 

  6. Reichert, J.L., Kober, S.E., Schweiger, D., Grieshofer, P., Neuper, C., Wood, G.: Shutting down sensorimotor interferences after stroke: a proof-of-principle SMR neurofeedback study. Front. Hum. Neurosci. 15(10), 348 (2016)

    Google Scholar 

  7. Renton, T., Tibbles, A., Topolovec-Vranic, J.: Neurofeedback as a form of cognitive rehabilitation therapy following stroke: a systematic review. PLoS One 12(5), e0177290 (2017)

    Article  Google Scholar 

  8. Kober, S.E., Schweiger, D., Witte, M., Reichert, J.L., Grieshofer, P., Neuper, C., Wood, G.: Specific effects of EEG based neurofeedback training on memory functions in post-stroke victims. J. Neuroeng. Rehabil. 12, 107 (2015)

    Article  Google Scholar 

  9. Bennett, C.N., Gupta, R.K., Prabhakar, P., Christopher, R., Sampath, S., Thennarasu, K., Rajeswaran, J.: Clinical and biochemical outcomes following EEG neurofeedback training in traumatic brain injury in the context of spontaneous recovery. Clin. EEG Neurosci. 49(6), 433–440 (2018)

    Article  Google Scholar 

  10. Jeunet, C., Glize, B., McGonigal, A., Batail, J.M., Micoulaud-Franchi, J.A.: Using EEG-based brain computer interface and neurofeedback targeting sensorimotor rhythms to improve motor skills: theoretical background, applications and prospects. Neurophysiol. Clin. pii: S0987-7053(18)30259-4 (2018)

    Google Scholar 

  11. Bianchi, L.: Speedy’O’Brain: a neuro-feedback videogame driven by electroencephalographic signals. Int. J. Biol. Biomed. Eng. 12, 229–234 (2018)

    Google Scholar 

  12. Bianchi, L., Babiloni, F., Cincotti, F., Salinari, S., Marciani, M.G.: Introducing BF++: a C++ framework for cognitive bio-feedback systems design. Methods Inf. Med. 42, 104–110 (2003). ISSN 0026-1270

    Google Scholar 

  13. Bianchi, L., Quitadamo, L.R., Marciani, M.G., Maraviglia, B., Abbafati, M., Garreffa, G.: How the NPX data format handles EEG data acquired simultaneously with fMRI. Magn. Reson. Imaging 25(6), 1011–1014 (2007). ISSN 0730-725X

    Google Scholar 

  14. Bianchi, L.: The NPXLab suite 2018: a free features rich set of tools for the analysis of neuro-electric signals. WSEAS Trans. Syst. Control 13, 145–152 (2018). Art. #18. ISSN/E-ISSN 1991-8763/2224-2856

    Google Scholar 

  15. Bianchi, L.: The software model of the ‘Speedy’O’Brain’ neuro-feedback videogame. Int. J. Circ. Syst. Signal Process. 13, 543–549 (2019). ISSN 1998-4464

    Google Scholar 

  16. Bianchi, L.: Brain-computer interface systems: why a standard model is essential on BCI standards. In: 2018 IEEE Life Sciences Conference, Montreal (2018)

    Google Scholar 

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Correspondence to Luigi Bianchi .

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Bianchi, L. (2020). A Videogame Driven by the Mind: Are Motor Acts Necessary to Play?. In: Arai, K., Kapoor, S., Bhatia, R. (eds) Advances in Information and Communication. FICC 2020. Advances in Intelligent Systems and Computing, vol 1129. Springer, Cham. https://doi.org/10.1007/978-3-030-39445-5_5

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