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How To Controlling Robotics with Brainwaves?

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How To Controlling Robotics with Brainwaves?

Brainwaves, are rhythmic or repetitive patterns of neural activity in the central nervous system. Neural tissue can generate oscillatory activity in many ways, driven either by mechanisms within individual neurons or by interactions between neurons. In individual neurons, oscillations can appear either as oscillations in membrane potentialor as rhythmic patterns of action potentials, which then produce oscillatory activation of post-synaptic neurons.

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At the level of neural ensembles, synchronized activity of large numbers of neurons can give rise to macroscopic oscillations, which can be observed in an electroencephalogram.

Oscillatory activity in groups of neurons generally arises from feedback connections between the neurons that result in the synchronization of their firing patterns. The interaction between neurons can give rise to oscillations at a different frequency than the firing frequency of individual neurons. A well-known example of macroscopic neural oscillations is alpha activity

What if we could control robots more intuitively, using only hand gestures and brainwaves? With help from robotics technology and electroencephalogram (EEG) sensors, humans now have telekinetic capabilities—and are becoming a lot closer to robots on a mental level. Here’s an overview of brain-controlled robots and how they are shaping the future.

Instead of pressing buttons on a remote control or keyboard, users can instantly control a robot’s gesture with nothing more than brain signals and the flick of a finger. For instance, researchers from MIT’s Computer Science and Artificial Intelligence (CSAIL) have a built a biofeedback system that allows users to instantly correct a robot’s mistake though monitoring their brain activity.

By monitoring brain activity, the system can detect in real-time if a person notices an error as a robot does a task, such as tightening a screw with a screwdriver, and then signal the robot to correct itself with simple hand gestures. By testing the biofeedback system using a worker bot called “Baxter,” MIT was able to improve its accuracy from 70 percent to 97 percent.

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Controlling robots with mind

The use of electroencephalogram (EEG) sensors and electromyography (EMG)

Controlling robots with our minds is made possible through the use of electroencephalogram (EEG) sensors. These sensors pick up the electrical signals produced when brain cells send messages to each other, and are attached to the scalp. The EEG sensors are also combined with an electromyography (EMG) system, which picks up muscle activities, so users can use gestures to command the robot spatially.

Merging these two systems allows for more robust bio-sensing and makes it possible for the system to work on new users without training. This helps make communicating with a robot more like communicating with another person.

Charming young woman undergoing electroencephalography

Real-life applications

While EEGs are often used for brain scans in the medical environment, combined with robotics and software technology, they can be used to perform a wide variety of tasks, making it easier for automation technicians and others to work in tandem with robots.  Below are some other ways EEG-based robots can improve our lives.

Compose and play music

Musicians might be able create music directly with their thoughts using EEG hardware devices. As demonstrated by MiND ensemble (Music in Neural Dimensions) from the University of Michigan, these devices can learn to associate certain electric signals from the musician as notes and sounds, and then have them transcribed into musical score wirelessly to a computer.

Screen mobile phone calls

For people too busy to answer a call, apps such as Ruggero Scorcioni’s Good Times filters the incoming calls of mobile phone users by simply monitoring the state of the user’s brain. Calls can be rerouted to voicemail when these EEG devices perceives that the user’s brain is busy with other tasks. Scorcioni’s iOS app, for instance, also helps users get through their day uninterrupted by only allowing calls through when the brain is in a receptive state.

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“Bionic” arms and limbs

In some instances, human machine interfaces are becoming part of the human body. For instance, EEG-based brain controlled prosthetics can send sensory signals to the wearer’s brain, or vice versa, allowing users to operate it by touch rather than by sight alone. This ability enables tasks many take for granted, like picking up a pen and climbing steps.

Safer autonomous vehicles

Although autonomous vehicles are far less prone to errors than human drivers, they can still make mistakes that lead to fatal car crashes. EEGs can prevent such accidents by alerting the driverless system when its passengers has spotted something its sensors haven’t noticed.

Robotic development

Collaborating with robots

We are more connected to robots than ever before thanks to brain-controlled technology. The future is bright as there will no doubt be more applications of this exciting technology. Whether working as a robotics technician, a plant owner or a consumer, the impact of this trend will be transformative.

So, what do you think about this? Simply share all your views and thoughts in the comment section below. For the latest tech,social media news and reviews, follow firebebble.com on Twitter, Facebook and Instagram



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