#Raspberry Pi EEG

[neophony]

Neuphony EXG Synapse has comprehensive biopotential signal compatibility, covering ECG, EEG, EOG, and EMG, ensures a versatile solution for various physiological monitoring applications.

[mundo24]

¿Enchufarías tu cerebro a internet? El avance científico que podría revolucionar la mente humana y ponerla en riesgo

El concepto de conectar nuestro cerebro a internet está dando pasos agigantados gracias al proyecto Brainternet, liderado por el ingeniero biomédico Adam Pantanowitz. Este proyecto consiste en captar las señales eléctricas del encéfalo mediante un casco con electrodos de electroencefalograma (EEG), y transmitirlas a un Raspberry Pi, un dispositivo básico que envía los datos a una página web…

[earth-goku-616]

Components for a DIY BCI

EEG (Electroencephalography) Hardware:

The most basic BCIs rely on EEG sensors to capture brainwaves.

OpenBCI is a popular, relatively affordable option for DIY BCI projects. While it costs a few hundred dollars, it is one of the most versatile kits available.

NeuroSky MindWave or Muse Headband are other cheaper alternatives, ranging from $100-$200. These are commercially available EEG devices for consumer-grade BCIs.

OpenEEG is another open-source project that allows you to build your own EEG hardware from scratch, though it requires more technical skill.

Electrodes:

You’ll need wet or dry electrodes to attach to your scalp. Wet electrodes give more accurate readings but are messier, while dry electrodes are more convenient.

You can order pre-gelled electrodes online or even repurpose ECG/EMG electrodes.

Amplifier:

The signal from the brain is very weak and needs to be amplified. Most consumer-grade EEG headsets already include built-in amplifiers.

If you're building your own, you’ll need to add an instrumentation amplifier like the INA114 to your circuit.

Microcontroller (optional but recommended):

You can use a microcontroller (e.g., Arduino or Raspberry Pi) to process and transmit the EEG signals.

This allows you to handle signal conditioning (filtering noise, extracting frequency bands like alpha or beta waves) before passing the data to a computer.

Signal Processing Software:

To interpret the brainwave data, you’ll need software to process the EEG signals.

OpenBCI GUI or BrainBay (open-source software for EEG processing) are good choices.

If using a commercial device like the Muse headband, you can use their respective apps or SDKs.

Python libraries like MNE-Python or OpenBCI_Python can be used for more advanced data processing and visualizations.

Steps to Build a Basic DIY BCI

Choose Your EEG Hardware:

If you're starting from scratch, something like OpenBCI Cyton board is a good start. It’s open-source, has good community support, and includes everything from the signal acquisition to the interface.

Set Up Your Electrodes:

Attach electrodes to specific parts of the scalp. The 10-20 system is commonly used in EEG to position electrodes. For basic experiments, placing electrodes on the frontal or occipital lobes is common for reading alpha and beta waves.

Amplify the Signal:

If you're using raw hardware, you need to amplify the EEG signal to make it usable. Most DIY kits or premade EEG headsets have built-in amplifiers. If you're building one from scratch, the INA114 or a similar instrumentation amplifier can be used.

Capture the Data:

Use a microcontroller or a computer interface to collect and transmit the amplified EEG data. For example, with an Arduino or Raspberry Pi, you can read analog signals from the amplifier and stream them to your PC via serial communication.

Process the Data:

Use software like OpenBCI GUI, BrainBay, or MNE-Python to filter and visualize the brainwave data. You’ll want to filter out noise and focus on frequency bands like alpha waves (8–12 Hz) for meditation or relaxation signals.

Analyze and Create Control Mechanisms:

Once you have the processed data, you can start building applications around it. For instance:

Detecting Alpha waves: You can trigger certain actions (e.g., turning on a light or moving a cursor) when you detect increased alpha activity (indicating relaxation).

Training with Neurofeedback: Users can learn to modulate their brain activity by receiving real-time feedback based on their brainwave patterns.

DIY EEG Project Example: Arduino-based EEG

Here’s a simplified example of how you could set up a basic EEG using an Arduino:

Materials:

Arduino Uno

EEG electrodes (you can buy inexpensive ECG electrodes online)

Instrumentation amplifier (e.g., INA114 or an open-source EEG shield for Arduino)

Resistors, capacitors for noise filtering

Cables to connect electrodes to the amplifier

Steps:

Assemble the amplifier circuit:

Build a simple differential amplifier circuit to pick up the small EEG signals from the electrodes.

Use the INA114 instrumentation amplifier to boost the signal.

Connect to Arduino:

The amplified signal can be connected to one of the Arduino’s analog inputs.

Write an Arduino script to read the analog value and send it to the PC via serial communication.

Filter and Process the Signal:

On your PC, use Python (or Processing) to capture the signal data.

Apply digital filters to isolate the EEG frequency bands you’re interested in (e.g., alpha, beta, theta waves).

Visualize or Control:

Create a simple application that shows brainwave activity or controls something based on EEG input (like blinking an LED when alpha waves are detected).

Further Ideas:

Neurofeedback: Train your brain by playing a game where the user must relax (increase alpha waves) to score points.

Control Mechanisms: Use the brainwave data to control devices, such as turning on lights or moving a robotic arm.

Estimated Cost:

EEG Kit: If using pre-made kits like Muse or NeuroSky: $100–$200.

DIY EEG Build: OpenBCI costs around $300–$400 for more advanced setups, while OpenEEG might be built for less, but requires more technical expertise.

Challenges:

Noise Filtering: EEG signals are weak and can easily be corrupted by muscle movements, electrical interference, etc. Filtering noise effectively is key to a successful BCI.

Precision: DIY BCIs are generally not as accurate as commercial-grade devices, so expect some limitations.

Building a homebrew BCI can be fun and educational, with a wide variety of applications for controlling electronics, games, or even providing neurofeedback for meditation

[chrystalyxpoetryportal]

Bionic Controlled Computers (B.C.C)

(C)2019-2020 By Kevin Michael Kappler. All rights reserved.

I had been watching videos on Youtube concerning Bionic arms,legs, and even eyes. Noticing even the brainwave frequency detection headgear to control the bionically enhanced vehicles and weapons on various science channels – I thought. “Why can't I design my own Brainwave head gear (or use an already manufactured one to purchase), use the brainwave interpreter circuit board and finally a raspberry pi or latte panda single board computer units to act like the command executor - “bionic computer interfaces” or “B.C.I.”

I Googled such items. I found a few for $500usd that may fit the description in my so called “ideological fantasy.”

Bionic headgear and interface -

Input commands and directions to robotic units and vehicles.

Such a system would allow handicapped people and also people in my condition (with nerve sensations damaged by M.S or S.L.E)(even visual impairments)

to drive cars, control wheel chairs(quadriplegics) and even goggles to connect cameras for vision (helping the blind to see).

Controlling personal computers, drones, weapons, and other common entertainment electronics with simply a “thought” would change how one could interact. Especially in a world limited by Nerve damage, disease, or handicap.

My “Bionic S Campaign” is a headband with Brainwave EEG connectors, an interface that would detect,amplify and then direct those waves to the interpreter box then the interpreter box would tell the intended software and hardware would to do.

Brainwaves would be detected and the wave patterns, which it detected, would be interpreted as certain commands or “willed reactions” by the interpreter.

Imagine that you are sitting in an electric battery powered go kart.

A box to receive the commands would be installed in place of a steering wheel and accelerator.

The headband would then be placed on the subject's head.

Brain sensors would be positioned to pick up their intended brainwaves. As electroencephalogram)

picks up a subjects brainwaves just to measure the activity of their thoughts.

An interpreter box would look for such waves. By the frequency picked up or “wave form”(alike a modem and audio signal of two computers communicating through tones), this “brainwave modem” would use such detected waves and match them to commands that were stored in it's programmed rom.

Once the brainwave was matched to the wave length in it's command base, the machine would then interpret what the command would result with an action sent to the box in the vehicle.

The subject could think of going “forward” or the words “go forward.”

Just like a bionic arm or leg – this system could integrate a Human to a machine and “will” such devices without touch, vocal , or touch commands.

If one wished for the vehicle to turn, they would simply push the though of which direction the vehicle should turn and the interpreter computer would make such and action happen.

For people in wheelchairs – they could even fly a helicopter or write a novel simply by thought.

People, like myself, with Nephropathy and severe pain disorders. People who could walk, talk, and do many normal things – their lack of feeling in parts of their bodies, distorted vision without glasses, and interactions that are limited by neurological damages by disease or action.

They could have their vision enhanced. They could run machinery, safely.

The could create with 3d printers connected to the interpreter computer.

  The could draw, beautifully, or even animate simply by thought.

 Once the funds needed are collected, I could order the parts I needed. Then trials and experiments in computer,vehicle, or bionic response unit (B.R.U) could be made successful.

Human thought to gadget computer controlled vehicles, art equipment, and many more household items. “Will Controllable Appliances (W.C.A).

[tech24news]

Hackers turn Raspberry Pi into brain-computer interface

[vdoc]

A team of South African scientists were able to hook up a human brain to the internet in real time, used a tiny Raspberry Pi computer paired with an EEG, a device that receives electrical information from electrodes placed on a person’s head. The device sent information instantly to a website, where any person or device was able to access it in real time. The Brainternet team is led by Adam Pantanowitz, electrical engineer, researcher and lecturer at Wits University in Johannesburg. @sixpenceee

[istandistmag]

İnsan Beyni Hacklenebilir Mi?

Geçtiğimiz günlerde insan beyninin internete bağlandığı duyuruldu, peki bu bilimsel gelişmeler karşısında güvende miyiz? İnsan Beyni Hacklenebilir Mi?

İnsan Beyni Hacklenebilir Mi? Amerika ve Avrupa’da biyoteknoloji araştırmalarına ciddi yatırımlar yapılıyor ama Güney Afrika herkesi şaşırtarak bir açıklama yaptı. Geçtiğimiz günlerde beyni ilk defa internetortamına bağladıklarını duyurdu. Johannesburg’daki Wits Üniversitesi’nde yapılan araştırma, Medical Express’te yayımlandı ve sosyal ortamlarda beynin gerçek zamanlı olarak nasıl internete bağlandığını gösteren videolar dolaştı. Dünyaca ilgi toplayan Brainternet projesinde, kişilerin kafasına yerleştirilen EEG cihazıyla beyin dalgaları, ucuz bir Raspberry Pi bilgisayarında dönüştürüldü. 

Wits Üniversitesi Elektrik ve Bilgisayar Mühendisliği Öğretim Üyesi olan ve projeye de gözetmenlik yapan Adam Pantanowitz, Brainternet ile kişilerin beyin aktivitelerini eş zamanlı olarak gözlemleyebileceklerini ve bunun gelecekte hem beyinden internet ortamına, hem de internet ortamından beyine veri gönderecek bir akıllı telefon uygulaması haline gelebileceğini söyledi. Ancak beynin bilgisayar ortamına bağlanmasıyla ilgili etik ve güvenlik açısından endişeler büyüyor. Peki Braininternet’in gelecekte ne gibi tehlikeleri olabilir? 

Bu konuyla ilgili açıklamalar yine Pantanowitz’den geliyor. Pantanowitz, “Eş zamanlı olarak beyin dalgalarının verilerinin geniş çapta sunulduğu bu proje ile bilgiler beynimizden internet ağına ve küresel internet ağından beynimize doğru yolculuk yapabilir; ancak herkesin beyninin internet ortamına bağlanması, bazı kişisel güvenlik sorunlarını meydana getirebilir. Bu da toplum için ciddi bir tehlike oluşturur.” ifadelerine yer veriyor.

Bu tarz tehlikeli durumları engellemek için Pantanowitz, Brainternet projesiyle gündeme gelen güvenlik meselelerini dikkate alan tüm internet ağından tamamen bağımsız bir bağlantı ağı oluşturulmasını öneriyor. Çin’in kuantum iletişimi projesini işaret eden Pantanowitz, kuantum mekaniği ile verilerin şebekeler içinde fotonlarla güvenli olarak taşındığı, verilerin aktarım esnasında ele geçirilemediği veya kopyalanamadığı bu sistemin, Brainternet için de oluşturulabileceğini söylüyor. Çin, 16 Ağustos 2016 tarihinde, dünyadaki ilk kuantum uydusunu uzaya fırlattı. Bu casus uydu ile yüksek güvenlikli internet ve gizli bir iletişimin yıllar içerisinde mümkün hale gelebileceği söyleniyor.

The post İnsan Beyni Hacklenebilir Mi? appeared first on Şehri Keşfet & Explore the City.

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[globalviewgr]

Ανθρώπινος εγκέφαλος συνδέθηκε στο ίντερνετ με εμφάνιση δεδομένων real time Ο όρος «Ίντερνετ των Πραγμάτων» (ΙτΠ) περιλαμβάνει όλες τις εφαρμογές και τεχνολογίες που συνδέουν μέσω αισθητήρων αντικείμενα της καθημερινότητάς μας με ένα δίκτυο υπολογιστών. Έτσι, τα αντικείμενα που συνδέονται μέσω δικτύου μπορούν να λειτουργούν αυτόνομα και να μας δίνουν πληροφορίες βασικές για την καθημερινότητά μας. Όπως για παράδειγμα να φροντίζουν για την ασφαλή μετακίνησή μας και την υγεία μας. Αν σας φαίνεται οικείο σαν concept είναι γιατί προσμοιάζει με αυτό που παρουσιάστηκε στην ταινία Matrix με το περιβάλλον μας να μας αντιλαμβάνεται ως ψηφιακές οντότητες. Μία ομάδα επιστημόνων στο πανεπιστήμιο Wits του Γιοχάνεσμπουργκ της Νοτίου Αφρικής έκαναν μία πρωτοπόρα κίνηση στον τομέα της βιοιατρικής μηχανικής. Το εγχείρημα που ονομάζεται «Brainternet» στριμάρει εγκεφαλικά στο Internet. Στην πραγματικότητα μετατρέπει τον εγκέφαλο σε ειδικό κόμβο που ονομάζεται Ίντερνετ των Πραγμάτων (Internet of Things, IoT) του Παγκόσμιου Ιστού. Και αυτό έκαναν σε real time. Το Brainternet, συλλέγει με μία συσκευή Emotiv τα εγκεφαλικά κύματα EEG. Στη συνέχεια τα μεταβιβάζει σε έναν υπολογιστή Raspberry Pi, ο οποίος με τη σειρά του εμφανίζει τα δεδομένα σε πραγματικό χρόνο σε μια διεπαφή προγραμματισμού εφαρμογών. Μέσω τις διεπαφής οι επιστήμονες παρακολουθούν τη δραστηριότητα του εγκεφάλου. Ο Άνταμ Παντανόβιτς, λέκτορας στη Σχολή Ηλεκτρολογίας και Πληροφορικής του πανεπιστημίου Wits και επικεφαλής της έρευνας εξηγεί πως «το Brainternet αποτελεί μια νέα κατάκτηση στον χώρο των συστημάτων διασύνδεσης εγκεφάλου με υπολογιστή». Ενώ συμπλήρωσε πως  «υπάρχει έλλειψη εύκολα κατανοητών δεδομένων σχετικά με τον τρόπο που ο ανθρώπινος εγκέφαλος λειτουργεί και επεξεργάζεται τις πληροφορίες. Εκεί μπαίνει το Brainternet το οποίο επιδιώκει να απλοποιήσει αυτές τις πληροφορίες. Αυτό επιτυγχάνεται με συνεχή παρακολούθη��η της εγκεφαλικής δραστηριότητας καθώς και με την παροχή κάποιας διαδραστικότητας».

[kennytan509-blog]

人間の脳　初めてインターネットに接続

1 名前：ゆず湯 ★：2017/09/19(火) 22:46:53.99 ID:CAP_USER9 ヨハネスブルグ近郊にある南アフリカを代表する大学、ウィットウォーターズランド大の研究グループが、医用生体工学の分野でブレークスルーを成し遂げた。プレスリリースによると、人間の脳をリアルタイムでインターネットに接続する方法が初めて発見された。 この「Brainternet」と呼ばれる技術は、脳波を計算できるインターフェース「Emotiv」を利用者の脳に接続して集収された「EEGシグナル（脳波信号）」を用いる。信号はコンピューター「Raspberry Pi」に送信され、さらにそのデータがソフトウェアインターフェースにリアルタイムで送られたあと、公開されたウェブサイトに表示される。つまり、ウェブサイトを訪問する人は誰でも脳の活動を観察することができるのだ。…

[2chmatomeantena-blog]

人間の脳　初めてインターネットに接続

1 名前：ゆず湯 ★：2017/09/19(火) 22:46:53.99 ID:CAP_USER9 ヨハネスブルグ近郊にある南アフリカを代表する大学、ウィットウォーターズランド大の研究グループが、医用生体工学の分野でブレークスルーを成し遂げた。プレスリリースによると、人間の脳をリアルタイムでインターネットに接続する方法が初めて発見された。 この「Brainternet」と呼ばれる技術は、脳波を計算できるインターフェース「Emotiv」を利用者の脳に接続して集収された「EEGシグナル（脳波信号）」を用いる。信号はコンピューター「Raspberry Pi」に送信され、さらにそのデータがソフトウェアインターフェースにリアルタイムで送られたあと、公開されたウェブサイトに表示される。つまり、ウェブサイトを訪問する人は誰でも脳の活動を観察することができるのだ。…

[yudarakks10154-blog]

人間の脳　初めてインターネットに接続

1 名前：ゆず湯 ★：2017/09/19(火) 22:46:53.99 ID:CAP_USER9 ヨハネスブルグ近郊にある南アフリカを代表する大学、ウィットウォーターズランド大の研究グループが、医用生体工学の分野でブレークスルーを成し遂げた。プレスリリースによると、人間の脳をリアルタイムでインターネットに接続する方法が初めて発見された。 この「Brainternet」と呼ばれる技術は、脳波を計算できるインターフェース「Emotiv」を利用者の脳に接続して集収された「EEGシグナル（脳波信号）」を用いる。信号はコンピューター「Raspberry Pi」に送信され、さらにそのデータがソフトウェアインターフェースにリアルタイムで送られたあと、公開されたウェブサイトに表示される。つまり、ウェブサイトを訪問する人は誰でも脳の活動を観察することができるのだ。…

[mahhasokuhou-blog]

人間の脳　初めてインターネットに接続

1 名前：ゆず湯 ★：2017/09/19(火) 22:46:53.99 ID:CAP_USER9

ヨハネスブルグ近郊にある南アフリカを代表する大学、ウィットウォーターズランド大の研究グループが、医用生体工学の分野でブレークスルーを成し遂げた。プレスリリースによると、人間の脳をリアルタイムでインターネットに接続する方法が初めて発見された。

この「Brainternet」と呼ばれる技術は、脳波を計算できるインターフェース「Emotiv」を利用者の脳に接続して集収された「EEGシグナル（脳波信号）」を用いる。信号はコンピューター「Raspberry Pi」に送信され、さらにそのデータがソフトウェアインターフェースにリアルタイムで送られたあと、公開されたウェブサイトに表示される。つまり、ウェブサイトを訪問する人は誰でも脳の活動を観察することができるのだ。

プロジェクトのリーダー、アダム・パンタ…

[bilimveteknoo]

https://www.bilimvetekno.com/insan-beyni-ilk-kez-internete-baglandi/

İnsan Beyni İlk Kez İnternete Bağlandı!

Güney Afrika’daki Witwatersrand Üniversitesi’ndeki araştırmacı ekibi biyomedikal mühendisliği alanında çığır açıcı bir gelişmeye imza attı. Ekip insan beynini gerçek zamanlı olarak internete bağladı.

Nesnelerin İnterneti kavramıyla çevremizdeki pek çok elektronik cihazın internete bağlanarak ”akıllı” sıfatını taşımaya başladığını görmekteyiz. Bu değişimin sol halkası ise insan beyninin internete bağlanmasıyla ortaya çıkacak olan beyin-bilgisayar arayüzleri olarak değerlendiriliyor. Halihazırda Neuralink, ARM, Facebook ve DARPA gibi kurumlar bu hayali gerçeğe dönüştürmek için çalışmalarını sürdürse Güney Afrika’daki Witwatersrand Üniversitesi’nden bir araştırma ekibi insan beynini internete bağlama konusunda büyük bir gelişme kaydetti.

Witwatersrand Üniversitesi’nden;Adam Pantanowitz, Jemma-Faye Chait ve Danielle Winter isimli araştırmacılar tarafından hazırlanan ve ”Brainternet” adı verilen proje ile ilk kez insan beyni gerçek zamanlı olarak internete bağlandı. Beynin gerçek zamanlı olarak internete bağlanma süreci ise şu şekilde gerçekleşti: İlk olarak uzun süreli kullanıma uygun, taşınabilir ve internet bağlantısına sahip bir Emotiv EEG cihazı kullanıcının kafasına yerleştirildi. Sonrasında beyindeki dalgaları elektroensefalografi(EEG) sinyallerine dönüştüren Emotiv EEG cihazı, sinyalleri gerçek zamanlı olarak Raspberry Pi(kredi kartı boyutlarında olan ve maliyeti düşük bir bilgisayar) üzerine kurulan programlama arabirimine iletti.

Bu adımların ardından araştırmacılar daha önceden kurdukları web sitesi aracılığıyla Emotiv EEG cihazını takan kullanıcının verilerini takip edebiliyor. Herkese açık bir web sitesine iletilen veriler aracılığıyla canlı bir şekilde beyindeki faaliyetler gözlemlenebiliyor. Proje hakkında konuşan öğretim üyesi ve proje sorumlusu Adam Pantanowitz, Beyinternet projesinin beyin-bilgisayar arayüzleri için yeni bir sınır olduğunu kaydetti. İnsan beyninin nasıl çalıştığı ve bilgiyi nasıl işlediği konusunda bilgi eksikliği olduğunu ifade eden Pantanowitz, ”Brainternet, bir kişinin kendi beynini ve başkalarının beynini anlamasını basitleştirmeyi amaçlıyor.” dedi.

Ekip biyomedikal mühendisliği alanında çok önemli bir başarı elde etmiş olsa da Pantanowitz’e göre halen yolun başındalar. Ekibin artık kullanıcı ve beyin arasında daha interaktif bir deneyim amaçladığını söyleyen Pantanowitz, Brainternet’in ilerleyen dönemlerde beyne, girdi ve çıktılar olmak üzere her iki yönde de bilgi aktarımı sağlanabileceğini düşünüyor.

Kaynak >>> https://www.bilimvetekno.com/insan-beyni-ilk-kez-internete-baglandi/

[kennytan509-blog]

人間の脳　初めてインターネットに接続

1: ゆず湯 ★ 2017/09/19(火) 22:46:53.99 _USER9 ヨハネスブルグ近郊にある南アフリカを代表する大学、ウィットウォーターズランド大の研究グループが、医用生体工学の分野でブレークスルーを成し遂げた。 プレスリリースによると、人間の脳をリアルタイムでインターネットに接続する方法が初めて発見された。 この「Brainternet」と呼ばれる技術は、脳波を計算できるインターフェース「Emotiv」を利用者の脳に接続して集収された「EEGシグナル（脳波信号）」を用いる。 信号はコンピューター「Raspberry Pi」に送信され、さらにそのデータがソフトウェアインターフェースにリアルタイムで送られたあと、公開されたウェブサイトに表示される。 つまり、ウェブサイトを訪問する人は誰でも脳の活動を観察することができるのだ。…

[yudarakks10154-blog]

人間の脳　初めてインターネットに接続

1: ゆず湯 ★ 2017/09/19(火) 22:46:53.99 _USER9 ヨハネスブルグ近郊にある南アフリカを代表する大学、ウィットウォーターズランド大の研究グループが、医用生体工学の分野でブレークスルーを成し遂げた。 プレスリリースによると、人間の脳をリアルタイムでインターネットに接続する方法が初めて発見された。 この「Brainternet」と呼ばれる技術は、脳波を計算できるインターフェース「Emotiv」を利用者の脳に接続して集収された「EEGシグナル（脳波信号）」を用いる。 信号はコンピューター「Raspberry Pi」に送信され、さらにそのデータがソフトウェアインターフェースにリアルタイムで送られたあと、公開されたウェブサイトに表示される。 つまり、ウェブサイトを訪問する人は誰でも脳の活動を観察することができるのだ。…

[2chmatomeantena-blog]

脳にネット接続

人間の脳　初めてインターネットに接続 – Sputnik 日本 ヨハネスブルグ近郊にある南アフリカを代表する大学、ウィットウォーターズランド大の研究グループが、医用生体工学の分野でブレークスルーを成し遂げた。プレスリリースによると、人間の脳をリアルタイムでインターネットに接続する方法が初めて発見された。 この「Brainternet」と呼ばれる技術は、脳波を計算できるインターフェース「Emotiv」を利用者の脳に接続して集収された「EEGシグナル（脳波信号）」を用いる。信号はコンピューター「Raspberry Pi」に送信され、さらにそのデータがソフトウェアインターフェースにリアルタイムで送られたあと、公開されたウェブサイトに表示される。つまり、ウェブサイトを訪問する人は誰でも脳の活動を観察することができるのだ。…