Brain Human Interfaces

Abstract

The interaction between human and external devices has reached new limits in the past decades. Brain Computer Interfaces require cross science learning and research, like computer programming, psychology, biology, design, and data mining. Direct interaction with human brain is possible through sensors that monitor the brain activity while performing various tasks. In this paper, we present the development done so far, the research methods, appliances in medicine and how systems can adapt dynamically to tasks required by the end user. We also analyze the impact and usefulness of such system in an economic environment, where the choices and decisions are made based on thoughts, comparisons, data series, data reports and many other factors, which need to be considered. In an economical system where efficiency is a requirement, cost reduction is necessary and making the right decision at the right time is the goal for any organization, implementation of brain human interfaces would be revolutionary.

Keywords

• human-computer interaction
• signal processing
• fuzzy systems
• brain-computer interfaces
• cognitive process
• machine learning
• self-learning algorithms
• artificial intelligence