Integrating the Spectrum C23 fNIRS system with SilicoLabs' VR environments enables researchers to monitor cerebral hemodynamics in immersive settings. This combination facilitates real-time analysis of brain activity during virtual tasks, enhancing studies in cognitive neuroscience, psychology, and human-computer interaction. The synergy of precise fNIRS data and controlled VR scenarios offers a comprehensive approach to understanding neural processes.
Combining the Spectrum C23 with SilicoLabs' VR environments allows researchers to study brain activity in highly realistic and controlled virtual settings. This integration provides an authentic simulation of real-world scenarios, enhancing the ecological validity of experiments.
SilicoLabs' VR environments enable the creation of tailored virtual experiences, allowing for precise manipulation of experimental variables. This flexibility is invaluable for studying human behavior, cognitive processes, and decision-making using Spectrum C23.
Both systems are designed for portability and user comfort. Participants can engage in VR activities naturally while Spectrum C23 collects precise hemodynamic data, making this integration ideal for lab and field applications.
Lots of research scenarios can be realized without having to actually build the physical conditions to carry them out. All you need to do is create a virtual environment to create the experiments. This saves time and money.
| Code-free software for neuroscience | enchanced with a VR/XR impressions | |||
|---|---|---|---|---|
| Additional sensors | Eye-tracking | Ultimate movement tracker | ||
| Recommended headset models | HTC Focus 3 Business Edition | HTC Focus Vision | Oculus Quest 3 | Other stand-alone manufacturers available |
| Fields of application | Spatial studies | 3D Simulations & Virtual Training | Market Research | VR/AR/XR studies |
Combine fNIRS and VR to study brain oxygenation changes in immersive, real-world scenarios, unlocking new insights into cognition, behavior, and decision-making under dynamic, lifelike conditions.
There are many ways of synchronizing between fNIRS and virtual reality. When analyzing this integration, we first need to answer the question of whether VR is to be just a Head Mounted Display that displays stimuli to the user, or whether fNIRS is to act as a controller that influences events in virtual reality (VR). Each of these variants requires a tailored approach. At Cortivision, we tested each of them and developed the appropriate synchronization mechanisms. Depending on your experience, competence and resources, it is possible to use our integration with a simple but powerful tool from SilicoLabs – a platform used to create VR scenarios without the need for coding. This solution is dedicated to people who do not have a programming team capable of producing scenes in virtual reality. The prepared scenarios can be modified to apply them for the purposes of cognitive research, market research, spatial navigation optimization, impact and perception studies, or economy studies. Research in VR can also be enriched with eye-tracking data. Please contact us for more details concerning our fNIRS integration with SilicoLabs.
CortiVision SPOTLIGHT is a fully integrated environment to combine NIRS technology with Virtual Reality (VR) for research and training applications. Our demo system is created mainly for biofeedback practice enabling effective and engaging cognitive training based on near-infrared spectroscopy. This solution targets researchers and advanced users who are not afraid of engaging with the code for more customized scenarios and experimental procedures. The use of virtual reality allows for unprecedented control of the content that we provide to the test subject. For this reason, SPOTLIGHT is the perfect tool for scientists and professionals in the field of UX / UI and ergonomics. Check the following examples of scenarios you can implement with SPOTLIGHT:
You can build a classic cognitive experiment (like an n-back task) and then use the recorded data as a signal for classification by machine learning algorithms. In the next phase, the control of the VR scene can be done in a neurofeedback loop.
