FAQ

Crown represents the next generation of our hardware, formerly known as “Notion”. The new form factor is smaller and features flexible rubber sensors with the lowest noise floor and the best signal to noise ratio ever in a consumer device.

We moved sensors in position CP5 and CP6 to PO3 and PO4. The new sensor configuration includes access to the visual cortex completing coverage to all four lobes of the brain.

The new Crown hardware features Near-field Communication (NFC) for fast pairing. Simply tap the back of the device with your smartphone, and the connection is instantly made.

We've also added a contact charging port for easy charging. The Crown fully charges in 30 minutes.

Orders are shipped on a first-come, first-serve basis. Orders usually ship within 8-10 weeks for rentals. For new Crowns, the shipping duration is typically around 4-5 months.

The Crown is compatible with all platforms. It comes with a mobile application for iOS and Android that will track your focus over time. Additionally, you can use the Neurosity Music app on the web with your Spotify account to get music recommendations based on your brain activity.

Yes, the Crown is a good fit for anyone that wants to manage their focus.

The Crown comes with a universal JavaScript API that runs in the Web browser and Node. It provides access to raw EEG, markers, frequency data (FFT), power spectral density, signal quality, accelerometer data, and metrics such as calm, focus, and kinesis. You can expect to receive new metrics from OS updates.

Additionally, the raw data can also be accessed via experimental embedded LSL (Lab Streaming Layer) and BrainFlow from C, C++, Python, Java, C#, MATLAB and Node. We consider LSL and BrainFlow useful for users that wish to conduct research with raw EEG and Markers. Embedded LSL is still experimentally built and not maintained by the official LSL community. We recommend if you experience issues to use the Python SDK into PyLSL inlet stream.

No. Never.

The Kinesis is an experimental API that uses a method called Motor Imagery. This method requires training and is able to detect basic motor-based intentions. You’ll have access to train multiple commands but can only use one at a time. These commands can be mapped to different interactions. We've had decent success with interactions such as scroll up/down, changing to next/previous slide, and turning a light on/off. Lag and accuracy are areas we are working to improve.

Yes. Please make sure to review our Refund Policy.

Did we miss anything? Feel free to shoot us an email.