Brain computer interface: a review
Conference paper
Parmar, P., Joshi, A. and Gandhi, V. 2015. Brain computer interface: a review. NUiCONE 2015: 5th Nirma University International Conference on Engineering. Nirma University, Ahmedabad, India 26 - 28 Nov 2015 Institute of Electrical and Electronics Engineers (IEEE). pp. 1-6 https://doi.org/10.1109/NUICONE.2015.7449615
Type | Conference paper |
---|---|
Title | Brain computer interface: a review |
Authors | Parmar, P., Joshi, A. and Gandhi, V. |
Abstract | A brain-computer interface (BCI), also referred to as a mind-machine interface (MMI) or a brain-machine interface (BMI), provides a non-muscular channel of communication between the human brain and a computer system. With the advancements in low-cost electronics and computer interface equipment, as well as the need to serve people suffering from disabilities of neuromuscular disorders, a new field of research has advanced by understanding different functions of the brain. The electroencephalogram (EEG) is an electrical activity generated by brain structures and recorded from the scalp surface through electrodes. Researchers rely on EEG to characterise the brain activity, primarily because it can be recorded non-invasively by using portable equipment. The EEG or the brain activity can be used in real time to control external devices via a complete BCI system. A typical BCI scheme generally consists of a data acquisition system, pre-processing of the acquired signals, feature extraction process, classification of the features, post-processing of the classifier output, and finally the control interface and device controller. The post-processed output signals are translated into appropriate commands so as to control output devices, with several applications such as robotic arms, video games, wheelchair etc. |
Conference | NUiCONE 2015: 5th Nirma University International Conference on Engineering |
Page range | 1-6 |
ISBN | |
Hardcover | 9781479999903 |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Publication dates | |
26 Nov 2015 | |
Publication process dates | |
Deposited | 06 Apr 2016 |
Accepted | 15 Aug 2015 |
Output status | Published |
Digital Object Identifier (DOI) | https://doi.org/10.1109/NUICONE.2015.7449615 |
Language | English |
Book title | 2015 5th Nirma University International Conference on Engineering (NUiCONE) |
https://repository.mdx.ac.uk/item/8632w
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