This paper is published in Volume-4, Issue-3, 2018
Area
Embedded System
Author
Shweta Shashikant Gaikwad, Dr. A. N. Paithane
Org/Univ
JSPM's Rajarshi Shahu College of Engineering, Pune, Maharashtra, India
Keywords
Human, Thoughts, Brain computer interface (BCI), Imagination.
Citations
IEEE
Shweta Shashikant Gaikwad, Dr. A. N. Paithane. Design of EEG based human-computer interface for real-time application, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Shweta Shashikant Gaikwad, Dr. A. N. Paithane (2018). Design of EEG based human-computer interface for real-time application. International Journal of Advance Research, Ideas and Innovations in Technology, 4(3) www.IJARIIT.com.
MLA
Shweta Shashikant Gaikwad, Dr. A. N. Paithane. "Design of EEG based human-computer interface for real-time application." International Journal of Advance Research, Ideas and Innovations in Technology 4.3 (2018). www.IJARIIT.com.
Shweta Shashikant Gaikwad, Dr. A. N. Paithane. Design of EEG based human-computer interface for real-time application, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Shweta Shashikant Gaikwad, Dr. A. N. Paithane (2018). Design of EEG based human-computer interface for real-time application. International Journal of Advance Research, Ideas and Innovations in Technology, 4(3) www.IJARIIT.com.
MLA
Shweta Shashikant Gaikwad, Dr. A. N. Paithane. "Design of EEG based human-computer interface for real-time application." International Journal of Advance Research, Ideas and Innovations in Technology 4.3 (2018). www.IJARIIT.com.
Abstract
Humans have fantasized about the ability to communicate and interact with machines through thought alone or to create devices that can peer into person’s mind and thoughts. These ideas have captured the imagination of humankind in the form of ancient myths and modern science fiction stories. However, it is only recently that advances in cognitive neuroscience and brain imaging technologies have started to provide us with the ability to interface directly with the human brain. Primarily driven by growing societal recognition for the needs of people with physical disabilities, researchers have used these technologies to build brain-computer interfaces (BCIs), communication systems that do not depend on the Brain’s normal output pathways of peripheral nerves, muscles. In these systems, users explicitly manipulate their brain activity instead of using motor movements to produce signals that can be used to control computers or communication devices. The impact of this work is extremely high, especially to those who suffer from devastating neuromuscular injuries and neurodegenerative diseases such as amyotrophic lateral sclerosis, which eventually strips individuals of voluntary muscular activity while leaving cognitive function intact.