[DC] Precise Hand Tracking Using Multiple Optical Sensors

Virtual and extended reality are some of the fastest-growing fields today. The visual quality, the headset size, the latency - it all improves with every new device. However, the user interface is still falling behind. After several decades, when we mainly used a mouse and key-board as controllers for personal computers, we finally can and should use other methods of input. We can even use parts of our body other than our hands to control the virtual worlds. For example, we can track the eyes for additional input or run around the virtual world with our own feet. This doctoral thesis deals with hand-tracking controllers for virtual reality without the user needing to hold or wear any device to interact with the virtual world. The goal is to create an intuitive controller using optical sensors that can provide a more natural user interface. We propose and implement a set of algorithms to fuse the tracking data from multiple optical hand-tracking sensors that provide greater precision and tracking possibilities than a single optical sensor.