INVESTIGATING THE IMPACT OF ENVIRONMENT NOISE AND MUSIC ON THE HUMAN BRAIN BY USING A BRAIN-COMPUTER INTERFACE (BCI)

Studies so far have analyzed the effect of distractor stimuli in different types of brain–computer interface (BCI). However, the effect of a background speech has not been studied using an auditory event-related potential (ERP-BCI), a convenient option when the visual path cannot be adopted by users. Thus, the aim of the present work is to examine the impact of a background speech on selection performance and user workload in auditory BCI systems. Eleven participants tested three conditions: (i) auditory BCI control condition, (ii) auditory BCI with a background speech to ignore (non-attentional condition), and (iii) auditory BCI while the user has to pay attention to the background speech (attentional condition). The results demonstrated that, despite no significant differences in performance, shared attention to auditory BCI and background speech required a higher cognitive workload. In addition, the P300 target stimuli in the non-attentional condition were significantly higher than those in the attentional condition for several channels. The non-attentional condition was the only condition that showed significant differences in the amplitude of the P300 between target and non-target stimuli. The present study indicates that background speech, especially when it is attended to, is an important interference that should be avoided while using an auditory BCI.

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A fully comprehensive & relative study of Human Brain-Computer Interface Algorithms

2018 International Conference on Advances in Computing and Communication Engineering (ICACCE) ◽

10.1109/icacce.2018.8441706 ◽

2018 ◽

Author(s):

Abhinav Das ◽

Subhash Chand Gupta ◽

Tanupriya Choudhury ◽

Suraj Sachan

Keyword(s):

Human Brain ◽

Brain Computer Interface ◽

Computer Interface

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THE IMPACT OF ADVERTISEMENT ON CONSUMERâ€™S PERCEPTION

CBU International Conference Proceedings ◽

10.12955/cbup.v5.923 ◽

2017 ◽

Vol 5 ◽

pp. 187-191

Author(s):

Martin HudĂˇk ◽

Radovan MadleĹˆĂˇk ◽

Veronika BrezĂˇniovĂˇ

Keyword(s):

Brain Activity ◽

Brain Computer Interface ◽

Consumer Perception ◽

Computer Interface ◽

Market Situation ◽

And Behavior ◽

The Impact ◽

The Brain ◽

Tracking Technology ◽

Wireless Eeg

Marketing can be described as a tool for companies to influence the consumerâ€™s perception to the desired direction. The current market situation is characterized by dynamism, growing consumer power, and intense competition. The consumer perception and behavior are changing and therefore need to be constantly monitored and measured. The aim of this article is to scan and measure consumerâ€™s perception while watching a video advertisement. During this experiment, an eye-tracking technology was used, which allows capturing a consumerâ€™s gaze. The central part of the research is to measure the brain activity of a consumer based on the EEG (Electroencephalography). EMOTIV Epoc+ is a 14-channel wireless EEG, designed for contextualized research and advanced brain computer interface applications. An advertising campaign from four different mobile operators was used for this purpose. In the conclusion of this article, consumerâ€™s perception of different advertising campaigns are compared and evaluated.

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Analysis of Golfer‘S Brainwave Signal During Par Tee Ireland and Driving Range Game

International Journal of Engineering & Technology ◽

10.14419/ijet.v7i4.30.22370 ◽

2018 ◽

Vol 7 (4.30) ◽

pp. 469

Author(s):

Yusof, M.M. M ◽

Salleh, S. M ◽

Ainul, H.M. Y ◽

Siswanto, W. A ◽

Mahmud, W.M.A .W

Keyword(s):

Fourier Transform ◽

Human Brain ◽

Brain Computer Interface ◽

Exchange Process ◽

Sport Performance ◽

Computer Interface ◽

Eeg Signal ◽

External Device ◽

Control Signals ◽

Driving Range

Ways to improve sport performance become exceptional contemporary interest. Nowadays, many studies use human brain as an input signal include eyes blinking, attention and meditation to control the exchange process. Brain–Computer Interface (BCI) requires generating control signals for external device by analysing the internal brain signal. The objective is to identify the signal of brainwave which gives effect to performance of golfer. The analysis involved the meditation (α) and attention (β) state of different golf players. In this project, the brainwave of golfer’s will be analyzed based on the movement before club strike the ball. EEG signal used to find out the features by using Fast Fourier Transform (FFT). The analysis included three categories of player include beginner, intermediate and professional. Two types of game have been considered which are Par Tee Ireland and Driving Range. The project interfaces MATLAB software with an EEG headset. The data has interpreted in time and frequency domain graph that show different level in an attention (β) state for both games. Brainwave signals indicated players’ performance and lead to better performance. This data benefits increasing the performance of golfer to become the professional golfer by using electroencephalography (EEG) headset in future study.

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Research on How Human Intelligence, Consciousness, and Cognitive Computing Affect the Development of Artificial Intelligence

Complexity ◽

10.1155/2020/1680845 ◽

2020 ◽

Vol 2020 ◽

pp. 1-10

Author(s):

Yanyan Dong ◽

Jie Hou ◽

Ning Zhang ◽

Maocong Zhang

Keyword(s):

Artificial Intelligence ◽

Human Brain ◽

Tacit Knowledge ◽

Brain Computer Interface ◽

Computer Interface ◽

Human Intelligence ◽

Cognitive Computing ◽

Human Beings ◽

Intelligent Machines ◽

Value Rationality

Artificial intelligence (AI) is essentially the simulation of human intelligence. Today’s AI can only simulate, replace, extend, or expand part of human intelligence. In the future, the research and development of cutting-edge technologies such as brain-computer interface (BCI) together with the development of the human brain will eventually usher in a strong AI era, when AI can simulate and replace human’s imagination, emotion, intuition, potential, tacit knowledge, and other kinds of personalized intelligence. Breakthroughs in algorithms represented by cognitive computing promote the continuous penetration of AI into fields such as education, commerce, and medical treatment to build up AI service space. As to human concern, namely, who controls whom between humankind and intelligent machines, the answer is that AI can only become a service provider for human beings, demonstrating the value rationality of following ethics.

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Exocortex as a Learning Technology

Handbook of Research on Learning in the Age of Transhumanism - Advances in Educational Technologies and Instructional Design ◽

10.4018/978-1-5225-8431-5.ch005 ◽

2019 ◽

pp. 47-77 ◽

Cited By ~ 1

Author(s):

Mehmet Emin Mutlu

Keyword(s):

Human Brain ◽

Brain Computer Interface ◽

Computer Interface ◽

Management Approach ◽

Learning Technology ◽

Research Projects ◽

Lifelong Learners ◽

Computational Environment ◽

Brain Interface ◽

The Brain

Exocortex is a hypothetical technology where the human brain can connect to a brain implant or a computational environment which is in the state of a wearable device, using two-way brain-computer interface, in order to augment the cognitive powers of the human brain such as perception, storage, recollection and processing. Exocortex is expected to be a part of everyday life in the 2030s. Exocortex technology is supported by parallel technologies such as brain reading, uploading knowledge into the brain from the outside, brain-computer interface, brain-to-brain interface, which are now undergoing prototype applications. In this study, by discussing the potential of exocortex technology in its use for learning processes, as a result of handling it with the “learning experiences management” approach, the opportunities it provides specifically for lifelong learners are examined. In the results and recommendations section of the study, a foresight is given for the scientific research projects that can be performed for this purpose.

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