For a long time, humans have continuously been captivated by the idea of someone or something that can read our minds, that be a telepath or a computer. But early research says scientists have cultivated a system that integrates machine learning and a brain-computer interface to read handwriting in the brain rather than on paper—the brain to text technology.
How does the research work?
This research was done with a 65 year’s old man who was paralyzed from neck down. A team of scientists used a couple of sensors and implanted them in the old man’s brain, which helped detect the neural activity linked to writing by hand. As the older man visualized writing letters, that action was fed to an algorithm that translated it into real-time, and the imagined text was displayed on a screen. As a part of the research, depicting the old man thinking about inscribing the word “hello” and “hello” was transpired on a computer display.
In-depth details of the experiment are laid out in a report in the current issue of the journal Nature. Nevertheless, according to several appreciations, one thing we can decipher is that this method appears to be more potentially powerful than the identical researches conducted to translate speech rather than handwriting.
It has been added that researchers can write a 50-word dictionary using this machine learning method, which helps to decode speech. The likelihood of such an experiment is to see if it could reach out and allow paralyzed people to type and communicate efficiently without utilizing their hands.
Just reckon about how extensively you spent your day on your computer to communicate with a person far away. It is a real privilege. But imagine about the people who became dependent on others? This researcher is the solution that helps you restore the proficiency of people who have lost their independence to interact with computers or even communicate with loved ones and others.
Even though this procedure is proved to be precise and efficient than any other study, but still it’s just a concept that was successfully showcased on just one person.
Future developments might include arm movements, courtesy of the research done by an early team. The previous work consists of the results of many people who were implanted with neural sensors. We participated in attempting arm movements, moving a cursor on a screen to an extent and were instructed to click on letters and spell out words and sentences. This procedure allowed people to type around 40 characters per minute. But this latest handwriting method saw rates soar beyond charts to 90 characters per minute.
While some see this as a viable option and solution, some also view this as a commercial development for the latest BCI technology. Cause Communication is prominent in how we function in society. In the present situation and given generation, most people around the globe are connected via internet-based Communication or primarily social media. But People with severe speech and physical impairments can face significant communication barriers, which later on lead them into isolation. This can be seen and used to avoid isolation and give them new hope and a possible chance to develop this commercially.
While in the future, it’s also likely to see that this handwriting procedure will be integrated into a more complex system that will allow for decoding speech, points, and clicks navigation like existing smartphone UI.
As of now, the team immediately aims to work with people who are unable to speak or suffers from a degenerative neurological disorder that robbed them of their speech.