In this study, we illustrate the progress of BCI research and present scores of unveiled contemporary approaches. First, we explore a decoding natural speech approach that is designed to decode human speech directly from the human brain onto a digital screen introduced by Facebook Reality Lab and University of California San Francisco. Then, we study a recently presented visionary project to control the human brain using Brain-Machine Interfaces (BMI) approach. We also investigate well-known electroencephalography (EEG) based Emotiv Epoc+ Neuroheadset to identify six emotional parameters including engagement, excitement, focus, stress, relaxation, and interest using brain signals by experimenting the neuroheadset among three human subjects where we utilize two supervised learning classifiers, Naive Bayes and Linear Regression to show the accuracy and competency of the Epoc+ device and its associated applications in neurotechnological research. We present experimental studies and the demonstration indicates 69% and 62% improved accuracy for the aforementioned classifiers respectively in reading the performance matrices of the participants. We envision that non-invasive, insertable, and low-cost BCI approaches shall be the focal point for not only an alternative for patients with physical paralysis but also understanding the brain that would pave us to access and control the memories and brain somewhere very near.

The first computers cost millions of dollars and were locked inside rooms equipped with special electrical circuits and air conditioning. The only people who could use them had been trained to write programs in that specific computer's language. Today, gesture-based interactions, using multitouch pads and touchscreens, and exploration of virtual 3D spaces allow us to interact with digital devices in ways very similar to how we interact with physical objects. Multitouch pads and touchscreens recognize movements of fingers on a surface, while devices such as the Wii and Kinect recognize movements of arms and legs. Frances Van Scoy says this is bringing us closer to towards'computing at the speed of thought' A professor at West Virginia University believes her research is helping to move us toward what might be called'computing at the speed of thought.' Frances Van Scoy says low-cost open-source projects such as OpenBCI allow people to assemble their own neuroheadsets that capture brain activity noninvasively.