Machine Learning Intern
As part of my recent project, I developed a VR sickness prediction model that leverages positional and attitude data (X, Y, Z coordinates and pitch, roll, yaw angles) to classify user discomfort in virtual reality environments. Using machine learning, I analyzed motion data from diverse tasks and movements to identify patterns associated with cybersickness. This project involved advanced data handling with Python, detailed visualizations, and binary classification techniques, providing a foundation for improved VR user experiences by mitigating motion sickness.