There is growing interest in the use of brain-computer interfaces (BCIs) and their potential application to assistive technologies. Non-invasive technologies using electroencephalography (EEG) and other electrophysical signals offer a lower risk alternative to brain implants for those recovering from injuries. Platforms are now emerging on which researchers and entrepreneurs can build innovative applications without having to worry about the low-level signal processing and integration challenges. Examples of such platforms are Emotive and OpenBCI which offer open-source hardware and software for building BCI applications. OpenBCI's latest product, the OpenBCI Galea, combines BCI with the capabilities of a VR headset. It gives developers access to an array of time-locked physiological data streams along with spatial positioning sensors and eye tracking. This wide range of sensor data can then be used to control a variety of physical and digital devices. The SDK supports a range of languages and makes the sensor data available in Unity or Unreal. We're excited to see this capability offered in an open-source platform so researchers have access to the tools and data they need to innovate in this space.
