Human Activity Detection in VR Scenario

Develop a VR-Based Motion Capture System: Create a robust and accurate motion capture system to track and record users’ movements in real-time within the VR environment. To collect data for the later machine learning model training and testing.

Machine Learning Model and Algorithm design for Behavior Detection: Construct a combined system of suitable computer vision models to detect and analysis human activity in VR Scenario. Multi-models will be involved in this system, and an algorithm will be designed to help the system predict activities based on the predictions from those models, e.g. Voting Classifiers.

Real-Time Feedback and User Interaction: Integrate the behavior detection model with the VR environment to offer real-time feedback to users based on their actions and interactions, enhancing immersion and user engagement.