Develop brain-computer interface applications with our advanced API.
Real-time: Performs live while your data is streaming.
Signal processing: Applies pre-processing filters and algorithms for optimal data quality and usability.
Known state detection: Detects states of mind such as visual attention.
Artifact Rejection: Removes unwanted motion artifacts.
A software engineer uses the Metrics API to stream data from multiple Muse headsets over OSC into Touch Designer.
PETAL METRICS API + MUSE + OSC + TOUCH DESIGNER + MULTIPLAYER
The Metrics API was combined with eye-tracking to measure engagement with sub-second precision.
PETAL METRICS API + OPENBCI + LSL + EYE TRACKING
A developer measures a user’s focus in VR with the Petal Unity package.
PETAL METRICS API + MUSE + UNITY + LSL
An OpenBCI is used with the Metrics API to turn on a lamp with their mind.
PETAL METRICS API + OPENBCI + LSL + IOT
Metrics and Muse are combined to control the volume of a TV.
PETAL METRICS API + TV + MUSE + LSL
An art installation in which the lights and sounds react to a wearer’s level of visual attention.
PETAL METRICS API + MUSE + OSC + LIGHTS
How are you using Petal? Send a description of your project and a photo or video to support@petal.tech. We would love to publish it and share it with the rest of the Petal community!
STAY INFORMED!
Enter your email to get API release notes and updates.