Chapter 111 Consciousness Output Helmet
Could it be that the 'first generation deep sleep aid' is real?

Otherwise, why was Lin Feng so confident that he directly invited Professor Jacobs, world-renowned sleep experts and global media to witness the experiment?
What’s more, Xingtu Technology even dares to broadcast the entire experimental process and data parameters live on the entire network!
In response to this series of actions by Xingtu Technology, the online public opinion that originally favored Professor Jacobs's views quickly turned to Lin Feng's side!

There is no way. Lin Feng is too confident. After all, Lin Feng invited Professor Jacobs and other global experts in the field of sleep to the media.

It will also be broadcast live on the entire network, and the data of human experimenters will also be announced to the entire network, which means that the effect of Xingtu Technology's "deep sleep aid" is indeed real.

Otherwise, Xingtu Technology would not be so confident. After all, the test will officially begin in two weeks on December 12.

Xingtu Technology would never tell such a lie. If it did, it would definitely become a global laughing stock.

Under such circumstances, Raymond Lam also discovered that since he posted that statement on Weibo and Twitter.

The experience value of the 'First Generation Deep Sleep Assist Device' began to soar rapidly, and it is expected to be officially upgraded in one day.

Upon learning of this result, Lin Feng's lips curled up into a faint smile. He was very much looking forward to Professor Jacobs' arrival, and then using facts to tell him that nothing is impossible!

……

Time flies, and two weeks have passed in the blink of an eye. Lin Feng also successfully upgraded the 'first generation deep sleep aid' on the second day two weeks ago.

Soon after, Lin Feng began the mass production of the "Second Generation Deep Sleep Assist Device".

Fortunately, except for one core component called the 'ultra-micro optically pumped magnetometer sensor', which is a brand new thing, everything else is accessories that can be bought on the market.

What is an 'ultra-miniature optically pumped magnetometer sensor'?
This thing is actually an ultra-miniature optical pump magnetometer for detecting magnetic force, and it has very high magnetic signal acquisition accuracy.

The signal acquisition accuracy is comparable to that of the SQUID superconducting magnetometer, which is bulky and inconvenient to use.

Why do you need this?

Anyone who has studied junior high school physics knows that where there is electric current flowing, there must be a magnetic field, and the same is true for the human brain.

After all, the neurons in the human brain are constantly exchanging electrical signals. During this process, the current flowing through each neuron will naturally emit a weak magnetic field.

This weak magnetic field is difficult to capture under normal circumstances, but this is not a problem for the 'ultra-micro optically pumped magnetometer sensor' with ultra-high magnetic signal acquisition accuracy.

The 'ultra-miniature optically pumped magnetometer sensor' can easily detect the weak magnetic fields generated by the flow of electrical current through neurons in the brain.

When multiple 'ultra-micro optically pumped magnetometer sensors' are arrayed, they can accurately detect the electrical signals of 90 million nerve cells in the entire brain.

It can even act as a magnetoencephalogram (MEG) to detect the state and shape of the brain's interior and check for abnormal growth, tumors, epilepsy, dementia or other brain and mental illnesses!
In 2018, the University of Nottingham developed a brain detection system consisting of an array of 50 optically pumped magnetometer sensors to accurately detect the state, shape, and brain signals of the brain.

At this time, my future self chose to use a light-pumped magnetometer sensor and miniaturize it through research, and then apply it to the field of sleep. This is actually a bit biased.

Of course, this is not actually biased. After all, the function of magnetoencephalography (MEG) to detect the shape and state of the brain is still there and has not been lost. It even has other uses besides this.

Such as gaming purposes!
Because it can detect the state of brain magnetism, draw a real-time brain magnetoencephalogram of the brain's shape and state, and check whether there are any brain diseases.

It is also possible to use the subtle connection between magnetism and electricity and the huge computing power of computers to convert brain magnetic signals into brain wave signals. Since these brain wave signals can be used to make deep sleep aids, they can naturally be used in the gaming field.

After all, when people want to do something or think of a word, the brain waves emitted by the brain are regular.

These rules can naturally be analyzed and identified, and this analysis and identification can naturally lead to the development of corresponding uses, such as gaming uses.

After all, when playing games, the brain's brain wave signals are nothing more than thoughts of moving, jumping, flying, up, down, left, right, punching, kicking, picking up, putting down, using skills, and so on.

The brain wave signals of these actions can naturally be analyzed and identified, and eventually the corresponding game helmets can be produced.

Because it can capture the brain's ultra-high precision magnetic signals, the accuracy of brain wave signal collection has far exceeded the brain-computer interfaces that are being experimented with at this time.

With ultra-high signal acquisition accuracy, it is theoretically even possible to develop a consciousness output helmet that can quickly input text or voice directly into a computer or mobile phone.

You can even input blurry images and then have the artificial intelligence Jarvis fill in the specific details to ultimately generate the desired picture or animation!
Of course, it is not easy to achieve this. If we really compare, the signal capture accuracy is probably not as good as the brain-computer interface in 15 or 20 years.

The reason is not that the signal acquisition accuracy of the 'ultra-micro optical pump magnetometer sensor' does not meet the standard, but in fact the signal acquisition accuracy has seriously exceeded the standard.

The real reason is that the 'ultra-micro optically pumped magnetometer sensor' is too susceptible to external magnetic interference.

After all, magnetic fields are generated all the time in the earth and in various electrical appliances or wires, and these magnetic fields can interfere with the machine's recognition.

Although the second-generation deep sleep aid has two major technologies to shield external magnetic field interference, it also has artificial intelligence Jarvis that actively eliminates useless information.

However, no matter how much you shield yourself from external magnetic field interference and actively eliminate useless information, there will always be a limit.

Therefore, in terms of development potential, the signal acquisition accuracy of the second-generation deep sleep aid has an upper limit due to external magnetic interference.

However, taking the brain wave signal acquisition accuracy of the second-generation deep sleep aid as an example, this signal acquisition accuracy has reached the signal acquisition accuracy of the strongest brain-computer interface in 2024 in the previous life.

Of course, no matter how high the signal acquisition accuracy of the brain-computer interface is, it is useless, because many stubborn adults do not like to have a brain-computer chip implanted in their brains.

Although wearing a helmet all day is bulky and inconvenient, they will definitely choose to use a helmet if it is sufficient, so the helmet-type EEG detector actually has some prospects.

So Lin Feng can find someone to develop brainwave control input technology for games and even text, voice, and drawing.

If it can be successfully developed, it will be a money-making tool.

Of course, these things can be left to Qu Qiongying to recruit people and set up the corresponding R&D team. He does not need to recruit people himself to take charge of these small matters.

Lin Feng is now focusing his energy on the second-generation deep sleep aid device, trying to solve the problem of mass production.

So it took two weeks to solve this problem, and it was the day for the experimental test of the second-generation deep sleep device.

Faced with this situation, Lin Feng could only stop the mass production work at hand and focus on experimental testing.

(End of this chapter)