Faster Communication Considering Emotional Quotient Using BCI

Authors

  • Subhash S Department of Telecommunication Engineering, Dayananda Sagar College of Engineering, Bengaluru, India
  • Prajwal N Srivatsa Department of Telecommunication Engineering, Dayananda Sagar College of Engineering, Bengaluru, India
  • Siddesh S Department of Telecommunication Engineering, Dayananda Sagar College of Engineering, Bengaluru, India
  • Ullas A Department of Telecommunication Engineering, Dayananda Sagar College of Engineering, Bengaluru, India
  • Santhosh B Department of Telecommunication Engineering, Dayananda Sagar College of Engineering, Bengaluru, India

DOI:

https://doi.org/10.5281/zenodo.4739444

Keywords:

Brain Computer Interface (BCI), Electroencephalography (EEG), Brain Sense, Paralyzed Person, Binary Communication

Abstract

The basic problem of a paralyzed person is the communication of his/her needs to the caretaker. In this Study, Brain Computer Interface can be considered as the solution and can also be convenient way for the patients, who cannot convey even the fundamental need like water, food, washroom urgency etc. Using this BCI device the patient can communicate accurately and adequately. The device doesn't need any physical movements to interact with it. It can be determined using brain activities based on EEG signals. In this Study, we are focusing on developing a practical BCI system or prototype to enable binary communication for patients.

Downloads

Download data is not yet available.

References

Chang Hee Han, Chang-Hwan Inn, “EEG-based Brain-Computer Interface for real-time communication of patients in completely locked-in state”.

Mikhail A Lebedev, "Towards a versatile brain-machine interface: Neural decoding of multiple behavioral variables and delivering sensory feedback".

Tomislav Milekovic, "Brain-computer interfaces based on intracortical recordings of neural activity for restoration of movement and communication of people with paralysis".

Abhinav Das, Subhash Chand Gupta, Tanupriya Choudhury, Suraj Sachan, "A fully comprehensive & relative study of Human Brain-Computer Interface Algorithms".

T.C Hsia, R.H Kraft. (2009, july, 30) A digital signal processing system for EEG frequency analysis, [Online]. Available : https://www.sciencedirect.com/science/article/abs/pii/0010468X83900235

Dipali Bansal, Rashima Mahajan. (2019) EEG-Based Brain-Computer Interfacing (BCI), [Online]. Available : https://www.sciencedirect.com/topics/engineering/brain-signal

The Brief History of Brain Computer Interfaces, [Online]. Available : http://www.brainvision.co.uk/blog/2014/04/the-brief-history-of-brain-computer-interfaces/

Harsimrat Singh, Ian Daly. (2015, November) Translational Algorithms: The Heart of a Brain Computer Interface, [Online]. Available:https://www.researchgate.net/publication/281770519_Translational_Algorithms_The_Heart_of_a_Brain_Computer_Interface

NeuroSky, [Online]. Available : https://en.wikipedia.org/wiki/NeuroSky

Neural Impulse Actuator, [Online]. Available : https://en.wikipedia.org/wiki/Neural_Impulse_Actuator

Speech-generating device, [Online]. Available : https://en.wikipedia.org/wiki/Speech-generating_device

Downloads

Published

2021-05-05

How to Cite

[1]
S. S, P. N. Srivatsa, S. S, U. A, and S. B, “Faster Communication Considering Emotional Quotient Using BCI”, pices, vol. 5, no. 1, pp. 1-5, May 2021.

URN