Acta Scientific Computer Sciences

Review Article Volume 5 Issue 12

Exploring the Frontier of Human-Machine Interaction with Brain-Computer Interfaces

Shreyash Mall*

Department of Computer Sciences, India

*Corresponding Author: Shreyash Mall, Department of Computer Sciences, India

Received: October 20, 2023; Published: November 12, 2023

Abstract

This article provides a thorough and extensive examination of Brain-Computer Interfaces (BCIs), a novel technological framework that enables users to engage with external devices via the utilization of their cognitive processes. The story thoroughly explores the historical origins of brain-computer interfaces (BCIs), clarifies their fundamental operational principles, examines the various fields in which they might be applied, analyzes the significant challenges they face, and vividly describes the promising future they suggest.
Brain-computer interfaces (BCIs) have seen a remarkable evolution, progressing from their early stages characterized by basic and simple features to their current level of extensive and sophisticated functioning. The diverse range of applications of this technology extends beyond enabling communication and enhancing freedom for those with significant physical limitations. It also includes the potential to enhance human cognitive capacities. The broad scope of this subject is contrasted with a wide range of problems, including those related to signal accuracy and user education, which remain important areas of focus.
The latest advancements in Brain-Machine Interfaces (BMIs) and the enhancement of neuroprosthetic devices are of notable importance, representing the growing momentum in the field of Brain-Computer Interface (BCI) research. This is a compelling progression, characterized by the integration of brain-computer interfaces (BCIs) with the revolutionary capabilities of artificial intelligence (AI), offering the potential for the development of increasingly intuitive and adaptive applications. Furthermore, brain-computer interfaces (BCIs) provide opportunities for enhancing human cognitive abilities, going beyond their conventional use as command tools and serving as catalysts for cognitive development. This is especially relevant in areas such as memory and creative problem-solving.
In summary, Brain-Computer Interfaces (BCIs) represent promising advancements in the realm of human-machine connection, offering a glimpse into a future filled with excitement and potential. The trajectory of their progress is characterized by a consistent process of improvement, evident via a shift towards enhanced accessibility and user-friendliness. The recent advancements in brain-computer interfaces (BCIs) have resulted in a merging of human cognition and the digital realm, leading to a reevaluation of the boundaries between humans and machines. This has given rise to a new kind of collaboration, known as human-machine symbiosis, which enhances the cognitive capacities of the human mind through a synergistic relationship.

Keywords: Brain-Computer Interfaces (BCIs); Human-Machine Interaction; EEG; Neurorehabilitation; Brain-Machine Interfaces (BMIs); Neuro-prosthetic Devices; Artificial Intelligence; Cognitive Enhancement; User Training; Signal Processing

References

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  2. Velliste M., et al. “Cortical control of a prosthetic arm for self-feeding”. Nature 7198 (2008): 1098-1101.
  3. Chaudhary U., et al. “Brain-computer interfaces in the completely locked-in state and chronic stroke”. Progress in Brain Research 228 (2016): 131-161.
  4. Hong K S and Khan MJ. “Hybrid brain–computer interface techniques for improved classification accuracy and increased number of commands: a review”. Frontiers in Neurorobotics 11 (2017): 35.
  5. Wolpaw JR and Wolpaw EW. “Brain–computer interfaces: principles and practice”. Oxford University Press (2012).
  6. Ang K., et al. “Clinical study of neurorehabilitation in stroke using EEG-based motor imagery brain–computer interface with robotic feedback: 32nd Annual Int. Conf. IEEE Engineering in Medicine and Biology Society (EMBC) (Buenos Aires, Argentina)” (2010): 5549-5552.
  7. Allison B Z., et al. “Toward a hybrid brain–computer interface based on imagined movement and visual attention”. Journal of Neural Engineering 7 (2010): 26007.

Citation

Citation: Shreyash Mall. “Exploring the Frontier of Human-Machine Interaction with Brain-Computer Interfaces".Acta Scientific Computer Sciences 5.12 (2023): 02-06.

Copyright

Copyright: © 2023 Shreyash Mall. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.




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