Tech Gadgets

Control Apps with Your Mind, Muscles, or Eyes

Written by VentureVoyager

🧠💻 Control Apps with Your Mind, Muscles, or Eyes – Thanks to This Open-Source Gadget!

Say hello to Neuro PlayGround Lite — a tiny but powerful device that reads signals from your body (brainwaves, heartbeat, muscle twitches, and even eye blinks) and connects wirelessly to your phone or computer.

But here’s the cool part for techies and curious minds 👇

🔌 How it works (simplified):
✅ It uses a special bio-signal amplifier to pick up signals from your body — EEG (brain), EMG (muscle), ECG (heart), and EOG (eyes).
✅ Powered by an ESP32-C6 chip (based on RISC‑V), it has Wi-Fi, Bluetooth, Zigbee, and Thread built in.
✅ It streams your bio-data in real-time over the network to your computer using Python and even supports web-based dashboards.

💻 Software Goodies:

  • Works with the Chords Suite (open-source tools made with Python & JavaScript).

  • Includes Chords-Python and Chords-LSL Connector, which lets you stream and visualize brain & muscle data live!

  • Can integrate into AI or ML models for real-time prediction or control.

👁️‍🗨️ Example Projects:

  • Control a game using brainwaves (EEG beta signals).

  • Blink to press spacebar using EOG.

  • Flex a muscle to play music using EMG.

  • See your heartbeat on a browser dashboard using ECG + Bluetooth.

💡 Best part? It’s Arduino-compatible, open-source, and you can code or modify everything.

Perfect for:
👨‍💻 Developers & Python lovers
🧠 DIY neurotech explorers
📡 Wireless tech & IoT tinkerers
🎓 Students building smart wearable or health projects

📦 Learn more or get one: CrowdSupply – Neuro PlayGround Lite

Neuro PlayGround Lite is open source, including its Python-based software tools.

Here’s a quick breakdown:

✅ Open-Source Python Software Included

The main toolkit is called the Chords Suite, and it includes:

  1. Chords-Python

    • A Python library that connects to the device, reads the bio-signals (EEG, ECG, EMG, EOG), and streams data.

    • You can use it to plot signals, record them, or even pass them to a machine learning model.

  2. Chords-LSL Connector

    • Sends the data using Lab Streaming Layer (LSL) — a protocol used in real-time neurotech apps.

    • Great for integrating with platforms like OpenBCI, Unity, Matlab, and other neuroscience tools.

  3. Chords-Web

    • A browser-based GUI to visualize data (written using JavaScript and WebSockets) but Python handles backend processing if you want to tweak it.

🔓 GitHub & Arduino

  • The firmware (code that runs on the ESP32-C6) is open-source Arduino code.

  • All hardware schematics, Python scripts, and signal processing code will be available on GitHub (some already are from previous versions of the board).

🧠 What This Means for You

  • You can download and modify all Python code to fit your own use-case (e.g., build your own BCI, a remote health monitor, or biofeedback app).

  • No black-box software — complete freedom to learn, build, and share.

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