Problem

Virtual Reality (VR) has been a topic of interest for many years, but it still faces several challenges. One of the main problems is that users can experience motion sickness or other discomfort while using VR. This can limit the adoption and use of VR technology.

The challenge was to find a way to detect and solve these problems in real-time so that users could have a more comfortable and enjoyable VR experience.

Solution

We decided to use Artificial Intelligence (AI) and Multilayer Perceptron (MLP) to improve VR. The AI would detect any problems in the user's experience, such as motion sickness or discomfort, and then send this information to the MLP. The MLP would then adjust the VR environment in real-time to reduce or eliminate these problems.

We developed an algorithm that used data from sensors in the VR headset to detect any issues. We then trained the MLP on this data so that it could learn how to adjust the environment based on these inputs.

Impact

Reduced motion sickness
Increase in overall comfort level
Improved user satisfaction with VR technology
Increased adoption of VR technology due to improved user experience
AI Engineer
- Developed the algorithm for detecting issues in VR experience using AI
- Analyzed data from sensors in the VR headset to train the MLP model
MLP Engineer
- Developed the MLP model for adjusting the VR environment in real-time
- Integrated the AI algorithm with the MLP model
UX Designer
- Designed and tested different VR environments to find the most comfortable experience for users
- Gathered feedback from users to improve the overall VR experience

Real-time AI solution improves VR experience