Wilver Auccahuasi
ABSTRACT
In the new times we are living, the use of technology is causing many of the customs are changing, one of them is the development of children, in previous years children used to play with their friends in the parks, technology It has caused many of them to perform recreation activities based on the use of video games, these games have caused children to develop certain skills and also change their behavior when they perform certain activities, in this work a comparison between the levels of concentration and meditation levels when children carry out activities related to the realization of academic activities related to the accomplishment of the school tasks that they must perform, with the levels of concentration and meditation when the child is doing activities related to video games, methodology that was used to evaluate the levels The concentration and meditation is based on the use of the Neurosky MindWave EEG device, which gives us the level of concentration and meditation that the person is on a scale of 0% to 100%, the results obtained show that In the case of videogames, children develop high levels of concentration in almost the entire development of the game from the beginning to the end of the game, compared to the levels that they develop when they do their homework, where children hardly concentrate having average records on average in the level of concentration and meditation.
- Frank, M., Hwu, T., Jain, S., Knight, R. T., Martinovic, I., Mittal, P., ... & Song, D. (2017, October). Using EEG-Based BCI Devices to Subliminally Probe for Private Information. In Proceedings of the 2017 on Workshop on Privacy in the Electronic Society (pp. 133--136). ACM.Google Scholar
Digital Library
- Chuang, J., Nguyen, H., Wang, C., & Johnson, B. (2013, April). I think, therefore i am: Usability and security of authentication using brainwaves. In International Conference on Financial Cryptography and Data Security (pp. 1--16). Springer, Berlin, Heidelberg.Google ScholarCross Ref
- Guger, C., Harkam, W., Hertnaes, C., & Pfurtscheller, G. (1999, November). Prosthetic control by an EEG-based brain-computer interface (BCI). In Proc. aaate 5th european conference for the advancement of assistive technology (pp. 3--6).Google Scholar
- Curran, E. A., & Stokes, M. J. (2003). Learning to control brain activity: A review of the production and control of EEG components for driving brain-computer interface (BCI) systems. Brain and cognition, 51(3), 326--336.Google Scholar
- Butler, D. S., & Moseley, G. L. (2010). Explicando el dolor. Noigroup Publications.Google Scholar
- Lin, H., & Li, Y. (2017, July). Using EEG data analytics to measure meditation. In International Conference on Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management (pp. 270--280). Springer, Cham.Google Scholar
- http://neurosky.com/biosensors/eeg-sensor/algorithms/Google Scholar
- http://neurosky.com/category/eeg-biosensors/Google Scholar
Index Terms
- Analysis of the comparison of the levels of concentration and meditation in the realization of academic activities and activities related to videogames, based on brain computer interface
Recommendations
Brain-Hack: Remotely Injecting False Brain-Waves with RF to Take Control of a Brain-Computer Interface
CPSIoTSec '23: Proceedings of the 5th Workshop on CPS&IoT Security and PrivacyThe promise of Brain-Computer Interfaces (BCIs) is counterbalanced by concerns about vulnerabilities. Recent studies have revealed that EEG-based BCIs are susceptible to security breaches. However, current attack approaches are challenging to execute in ...
Discriminating the brain activities for brain---computer interface applications through the optimal allocation-based approach
The translation of brain activities into signals in brain---computer interface (BCI) systems requires a robust and accurate classification to develop a communication system for motor disabled people. In BCIs, motor imagery (MI) tasks generate brain ...
Brain-Computer Interface using Directional Auditory Perception
AHs '23: Proceedings of the Augmented Humans International Conference 2023We investigate the potential of brain-computer interface (BCI) using electroencephalogram (EEG) induced by listening (or recalling) auditory stimuli of different directions. In the initial attempt, we apply a time series classification model based on ...
Comments