Semester Projects from Medialogy, Aalborg University

Parachute Training 360-video App - XR Developer for Khora

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Everyone knows how frustrating it is being unable to find the TV remote, well now there’s a solution for that! We created a time-series sensitive gesture detection algorithm using a live camera feed, enabling multiple layers of control schemes for remotely controlling TVs, while minimizing the possibility of false-positive detections from visual background noise. The solution was created in Python using the OpenCV framework.

My contributions: Programming, Computer Vision

Analytics System - XR Developer for Khora

Extending a PICO VR 360-video app with an automated analytics framework

I implemented the groundwork for an analytics system to add to Khora’s project pipeline, this project was the first iteration of said system, with which a hidden access method would allow admins to discern various metrics from users of a given VR headset. The metrics visuals would auto generate themselves at runtime based on existing videos in storage, and if a metrics log corresponding to an existing video key existed on device storage, the system populate that that graphics with previously logged metrics. Whenever a user viewed a video, the system would update the existing metrics, and then save them to device storage with their corresponding video key, and load the metrics back in whenever the menu was opened.

This project helped refine my skills in C# I/O, async, Unity, and Android debugging