Join BIOPAC to learn how you can get started with experiments combining VR with biofeedback and physiology data collection.

Advancements in virtual reality have opened up exciting new possibilities for physiology researchers. Watch this webinar from BIOPAC to learn how you can get started with your own physiology research using VR, what options are available and how to create a virtual environment for physiology experiments.

Presenters also demonstrate a series of VR experiments and computer simulations combining interactive VR with biofeedback and physiology data collection.

Key Topics Include:

  • Possibilities of using computer and VR simulations in research
  • Creative combinations of physiological recording and VR
  • Tracking cognitive processes with fNIR
  • Automated analysis
  • Foundations for developing your first experiment

Presenters

Account Director & fNIR Expert
BIOPAC Systems, Inc

Alex Dimov (BIOPAC Systems, Inc.) has been teaching workshops on the topic of physiological data acquisition and analysis for nearly 15 years. While at UC Santa Barbara he was an instructor for The Advanced Training Institute for Virtual Reality in Social Psychology. He joined BIOPAC as an application specialist and now oversees European Sales for BIOPAC.

Production Partner

BIOPAC Systems Inc.

BIOPAC lets you measure physiology anywhere with innovative, compatible solutions that can be used by anyone for meaningful discovery.

Additional Content From BIOPAC Systems Inc.

fNIRS for Mental Workload Assessment

fNIRS for Mental Workload Assessment

During this webinar, Alex Dimov discusses fNIRS in mental assessment research and presents an ergonomic and easy-to-use ecosystem for recording and analysis.

Related Content

Pulse Wave Velocity: Theory, Applications, Methods, and Future Directions

Pulse Wave Velocity: Theory, Applications, Methods, and Future Directions

Arguably, the “gold-standard” method for noninvasive assessment of cardiovascular disease risk is pulse wave velocity (PWV). Join experts for a complete, in-depth overview of their research involving PWV in a variety of different applications and a deep dive into the methods they use to record high-quality, repeatable data.