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Applications of Brain-Computer Interfaces in Intelligent Technologies (Hardcover, 1st ed. 2022)
Loot Price: R3,609
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Applications of Brain-Computer Interfaces in Intelligent Technologies (Hardcover, 1st ed. 2022)
Series: Studies in Computational Intelligence, 1031
Expected to ship within 12 - 17 working days
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The BCI technology finds newer and newer implementations. Year by
year, the number of publications in this field grows exponentially.
This book attempts to describe the implementation of the
brain-computer technology based on both STM32 and Arduino
microcontrollers. In addition, the application of BCI technology in
the field of intelligent houses, robotic lines as well as in the
field of bionic prostheses was presented. One of the chapters of
the monograph also discusses the issue of fMRI in the context of
the possibility of analyzing images made as part of fMRI through
solutions based on machine learning. A practical implementation of
the TensorFlow framework was presented. The fMRI technique is also
often implemented in BCI solutions. The conducted literature
studies show that the technology of BCI is undoubtedly a technology
of the future. However, there is a need for continuous development
of biomedical signal processing methods in order to obtain the most
efficient implementations in the case of non-invasive
implementation of BCI technology based on EEG. The further
development of BCI technology has a huge impact on the techniques
of rehabilitation of people with disabilities. Nowadays,
wheelchairs are being constructed, thanks to which a disabled
person is physically able to direct his position in a certain
direction and at a certain speed. Thanks to BCI, it is also
possible to create an individual speech synthesizer, with the help
of which a paralyzed person will be able to communicate with the
outside world. New limb prostheses that will replace the lost
locomotor system in almost one hundred percent are still being
developed. Some prostheses are connected to the human nervous
system, thanks to which they are able to send feedback to our brain
about the shape, hardness and temperature of the object held in the
artificial limb.
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