Thanks to the efforts of researchers and other colleagues at MIT and Dolby Laboratories, wearable devices can be used to analyze reading and emotions in the near future.
If you imagine, when your eldest brother takes Alexa, Watson or other futuristic wearable devices that have not yet been developed to observe and analyze your mood or health, does it still feel a little scary? A neuroscience scholar believes that we are not far from the moment our equipment or those installed around us begin to collect our information. Poppy Crum, the chief scientist of Dolby Laboratories, said that our bodies send out various signals, which can be scanned and analyzed by advanced computer systems. Are you scared? Crum said in a recent speech that similar to existing wearable devices, future devices can be set up throughout public spaces to collect these valuable biological data. Because they are part of our surrounding environment, we will not be able to opt out or give up monitoring, because technology and new regulations will also emerge.
Using thermal imaging cameras, "mind" electroencephalogram (EEG) caps, heart rate detectors and skin response sensors, the body and mind of volunteer observers can be fed back to the screen. Crum stated in her recent TED 2018 Vancouver keynote speech, “We like to believe what we see or hear from others, and we also think that we understand the cognitive control of our own internal state, such as our emotions, insecurity, bravado, Trial or tribulation," "But wearable technology can already distinguish between a real smile and a fake smile. A passionate dynamic signature may make you feel how hard our brains work, how we participate One of them may express excitement, or even the heat on the cheeks when seeing the flame photos."
In other applications, EEG wearable technology has been used to create a machine device that can interpret words from the brain's brain waves without speaking at all, allowing computer users to use the power of thought to open applications. Crum said that your equipment will know you better than you, and we need to consider how to use this data.
Mind reading headset A team at MIT has been working on a headset that can read your thoughts. AlterEgo is a head-mounted or more appropriately mandibular-mounted device that can read neuromuscular signals through built-in electrodes.
A student, Arnav Kapur, said, "Our idea is: We can have a more internal computing platform that integrates humans and computers in some way, which feels like an internal extension of our own cognition. The motivation is Built on an IA device, that is, an intelligent enhanced device." The Massachusetts Institute of Technology's research team stated that it can achieve an accuracy of about 92% for orders from 10 people. The team also added bone conduction audio playback and keeping the system completely silent, an element that might make it useful for special operations. The music matches your mood. Soon there will be an app that can identify a piece of music based on your thinking pattern.
In 2014, researcher Brian Pasley and colleagues at the University of California, Berkeley used deep learning algorithms and brain activity to use electrodes to convert human thoughts into digital synthesized speech for measurement. This is achieved by analyzing a person's brain waves when speaking to decode the connection between speech and brain activity. There is a device for early cancer detection that is hidden under the skin. Scientists have invented an implant that can detect cancer in the human body, and artificial moles will appear on the skin to warn you early. The small patch is located under the skin and consists of a network of cells that constantly monitors the level of calcium in the body. Cancer can cause rapid loss of calcium. When the loss is too much, the implant will trigger the production of melanin, which is the body's tanning pigment, which forms a small mole.
Professor Martin Fussenegger of the Department of Biosystems Science and Engineering at ETH Zurich said that the implant can exist for ten years. Swiss scientists at ETH Zurich University said that the device “can identify the four most common types of cancer-prostate cancer, lung cancer, colon cancer, and breast cancer, all of which can be identified in the early stages of tumor development. Now, people generally have only Go to the doctor when the tumor starts to have problems. Unfortunately, it is often too late at that time. Early detection obviously improves the chances of survival." "Mole" has appeared before the cancer can be detected by routine diagnosis. , As an early warning system can tell people to seek treatment. Dr. Catherine Pickworth of Cancer Research UK said, “The idea that wearable technology may one day become a cancer warning signal is exciting, but this research is still in its infancy. Early detection of cancer is one of the most effective ways to improve survival, so Finding the best way to detect high-risk groups or alleviate groups is a major challenge." The team has now improved the previous research and applied it to music. They were able to predict the brain activity of the pianist, which was 50% more accurate than the original study. When the player played on the electronic keyboard, the team recorded the player's brain activity. In this way, they are able to match the brain patterns and the notes played. Then they experimented again, but this time turned off the keyboard sound and asked the player to imagine the notes while playing. This training allowed them to create their own music prediction algorithm.
Pasley said, "The long-term goal of our research is to develop algorithms for speech devices so that patients who cannot speak can communicate." "We are still far from achieving this goal, but this research represents an important step forward. It shows that the neural signals of auditory images are stable and precise enough to be used in machine learning algorithms that can measure brain activity Predict the sound signal".
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