Context. The release of the Oculus Rift Development Kits and other similar hardware has led to something of a resurrection of interest in virtual reality hardware, but such hardware has problems in the form of, for example, drift errors, where the estimated forward direction veers of in an arbitrary direction. These drift errors accumulate over time and can lead to reduced user immersion and a need for the user to continuously calibrate the hardware. Objective. This study aims to investigate the possibility of drift error correction through the use of the Microsoft Kinect v1 RGB-D sensor and 3D object tracking technology. Method. Through the creation of a prototype application that utilizes object recognition to find the Oculus Rift DK1 on the user’s head and calculates its estimated six degrees of freedom, a "real world" forward vector can be produced. This vector’s authenticity can then be evaluated through an experiment that compares it to the forward direction reported by the Oculus Rift DK1. Result. The result is an application that can successfully recognize the Oculus Rift DK1 in a scene and deduce what its forward direction is. Due to what is suspected to be hardware malfunctions in the Oculus Rift DK1 the test results are not satisfactory, although observations still indicate that the application would perform within the set boundaries should the malfunctions not be present. Conclusion. Even though the experiment’s results are not ideal, the application shows promise and should be studied further with more accurate measuring equipment.