scholarly journals Relax App: Designing Mobile Brain-Computer Interface App to Reduce Stress among Students

2021 ◽  
Vol 11 (2) ◽  
pp. 7-13
Author(s):  
Priyangka John Jayaraj ◽  
Masitah Ghazali ◽  
Abubaker Gaber

Students especially at universities undergo a lot of pressure and stress, and mental health is something that must not be taken lightly, especially at the time of pandemic as we are experiencing now. The need for us to look into the mental health is constantly reminded everywhere. There are a lot of ways to reduce stress such as meditation, getting involved in sports and one of the most practiced methods is by listening to music. Music has been indeed proved to have positive effects on humans and that it aids healing process such as binaural beats and Solfeggio frequency. These frequencies of music have impact towards the brainwave. This study reports on how the design thinking process was used to better identify the most suitable means on integrating mobile Brain-Computer Interface (BCI) as an application to know the impacts of different type of frequencies of music on the human brain to reduce stress. Besides suggesting a generic guideline to develop an application for mobile BCI, this study also provides us insights into the readiness of mobile BCI as an application for common usage.

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

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.


Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Yanyan Dong ◽  
Jie Hou ◽  
Ning Zhang ◽  
Maocong Zhang

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.


Author(s):  
Mehmet Emin Mutlu

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.


2018 ◽  
Vol 15 (4) ◽  
pp. 046016 ◽  
Author(s):  
John E Downey ◽  
Nathaniel Schwed ◽  
Steven M Chase ◽  
Andrew B Schwartz ◽  
Jennifer L Collinger

2018 ◽  
Vol 210 ◽  
pp. 04046 ◽  
Author(s):  
Martin Strmiska ◽  
Zuzana Koudelkova

Brain-computer interface (BCI) is a device that enables the connection between the human brain and a computer, therefore, it allows us to observe the brain activity. The goal of this article is to prove that brain-computer interface is a helpful and quite precise tool. This goal will be achieved by presenting various examples from real-life situations. The results show that this device is indeed helpful, e.g. in a medical field, however, it is not commonly used in hospitals.


2019 ◽  
Vol 292 ◽  
pp. 01023
Author(s):  
Martina Zabcikova

Brain-Computer Interface (BCI) has received a huge interest as a direct communication pathway between a human brain and an external device. BCI is very useful in many areas of research. This study examines and discusses the feasibility and usability of the Emotiv Epoc+ noninvasive device. The focus is on the analysis of electroencephalography (EEG) signals associated with visual and auditory senses. To measure signals the free version of software Emotiv Xavier ControlPanel is used. The results depict that the Emotiv Epoc+ device is a suitable option in BCI for scientific and entertainment purposes.


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