The human-computer connection: An overview of brain-computer interfaces

Authors

  • José del R. Millán Center for Neuroprosthetics, Federal Institute of Technology in Lausanne (Switzerland).

DOI:

https://doi.org/10.7203/metode.9.12639

Keywords:

brain-computer interfaces, brain signal processing, machine learning, robotics, rehabilitation

Abstract

This article introduces the field of brain-computer interfaces (BCI), which allows the control of devices without the generation of any active motor output but directly from the decoding of the user’s brain signals. Here we review the current state of the art in the BCI field, discussing the main components of such an interface and illustrating ongoing research questions and prototypes for controlling a large variety of devices, from virtual keyboards for communication to robotics systems to replace lost motor functions and even clinical interventions for motor rehabilitation after a stroke. The article concludes with some insights into the future of BCI.

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Author Biography

José del R. Millán, Center for Neuroprosthetics, Federal Institute of Technology in Lausanne (Switzerland).

Defitech Chair in Brain-Machine Interface (CNBI) at the Center for Neuroprosthetics at the Swiss Federal Institute of Technology in Lausanne. Brain-computer interfaces, neuroprosthetics and adaptive robotics are among his fields of expertise. His current works aim at bringing together BCI and adaptive intelligent robotics.

References

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Published

2019-03-06

How to Cite

Millán, J. del R. (2019). The human-computer connection: An overview of brain-computer interfaces. Metode Science Studies Journal, (9), 135–141. https://doi.org/10.7203/metode.9.12639
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Interlinked. Machines and humans facing the 10101 century

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