Note: This is a fully in-classroom session and will not be held on Zoom. Please consider not enrolling if you are unable to attend in-person. All participants will need to adhere to the Stanford Health Check guidelines.
Note: Lunch will be provided for this class.
The Omnicept VR tool enables developers to access biometric data from VR users. In this session, you will have the opportunity to learn how to get up and running with this VR tool, and experience the impact within the virtual environment.
The HP Reverb G2 Omnicept Edition enables developers to access biometric data from the VR users. Omnicept enables collecting heart rate, heart rate variability, eye gaze, pupillometry and machine learning trained algorithms like cognitive load data.
Objectives:
- Discover the capabilities of HP Omnicept
- Discuss cognitive load algorithm and how to use it.
- Set up a development environment and collect and use Omnicept data
Topics:
- What is HP Omnicept?
- Integrating with Unity and Unreal Engine
- Accessing sensor and inference engine data
- What is cognitive load?
- Use case examples
- Testing it out / Questions
Extracurricular time:
- Omnicept demos
- Collaborating with Glue
University IT Technology Training classes are only available to Stanford University staff, faculty, students and Stanford Hospitals & Clinics employees. A valid SUNet ID is needed in order to enroll in a class.
