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  • Writer's pictureNeilwena Tumacay

Control Robots and Computers with Your Mind: Affordable Raspberry Pi Device Lets Everyone Access BCI

Updated: Mar 21


Do you remember how science fiction movies showed us a world where humans can control computers and robots just by using their minds? That might have seemed like an impossible dream at the time, but thanks to innovative new technology, it's now becoming a reality. PiEEG is an affordable device that allows users to connect their brains to a computer or robotic system, allowing them to control them with their thoughts.


Figure 1. How does a Brain-Computer Interface Work? Retrieved from www.techslang.com


The PiEEG is an open source Raspberry Pi shield that measures biosignals such as those used in electroencephalography (EEG), electromyography (EMG), and electrocardiography (ECG). This device is designed to be affordable, easy-to-maintain, and high-precision. It can be used to convert a RaspberryPI into a Brain-Computer Interface (BCI) for controlling robots or computers with your mind.


This technology has been around for decades, but it’s only recently become accessible to the general public. With the PiEEG, anyone can connect their brain to a computer and control it with their thoughts. The device is compatible with EEG headsets, so you don’t need any special equipment to get started.


Figure 2. Brain computer interface – the rising adoption of wearable medical devices. Retrieved from www.healtheuropa.com


The possibilities are endless when it comes to using this technology. You could use it to control robots or drones, play video games, or even create art. You could also use it for medical applications such as monitoring brain activity during sleep or helping people with disabilities communicate better.


The PiEEG is still in its early stages of development, but it has already shown great promise. It’s an exciting time for BCI technology and we can’t wait to see what the future holds!


Sources:

  • https://www.crowdsupply.com/hackerbci/pieeg

  • https://github.com/HackerBCI/EEGwithRaspberryPI

  • https://arxiv.org/abs/2201.02228

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