Mind reading technology is the latest gadget that is going to blow your mind. With this new possibility, “the future is now” has a whole new meaning. With a growing number of companies beginning to focus on “Brain-Computer Interface”, this industry is expected to reach around $1.5 Billion by the end of this year.
The devices use sensors to record brain signals on the scalp. By tracking where the eyes are focusing, the devices can control an object without physically moving. A company such as NextMind has created a prototype that can create commands on objects. NextMind CEO, Sid Kouider, says the eyes are only used to see, but the vision process and interpretation is in the brain. Brain-Computer Interface uses that information in the brain to process what commands to make. For instance, a subject was able to change the color of a lamp only using her thoughts. Another example is how a subject was able to mute, change channels, or change the volumes only by focusing her eyes on a certain part of a screen.
As this device is still in its beginning phases, companies using this technology are already focusing on what could come next. As E-Sports and gaming communities have skyrocketed over the past few years, there are unlimited amount of possibilities in how Brain-Computer Interface systems can be used.
NextMind’s technology is not available to the public yet, but a developer kit is being sold to other companies who can add applications to the product. Contributing ideas and technologies in order to release the best product they can offer.
Another company such as BrainCo focuses on the frontal cortex of the brain. While the technology is similar, BrainCo has used the technology on VR games. In one game, the harder the player focuses on the rocket ship, the faster the rocket ship moved. Different colors light up on the front of the headband depending on how hard the user is focusing. This technology can be brought into education, because it can train kids on how to focus better.
Brain-Computer Interface can be very effective in prosthetics as well. It can enhance the response and reaction of controlling a prosthetic limb. As the user builds a connection with the prosthetic limb through Brain-Computer Interface, it can begin to learn habits of brain signals and respond even quicker.