Dynamic Orientation Sensing for Augmented Reality Using a Dual Axis Accelerometer
Accurate viewpoint tracking for Augmented Reality applications is a challenging task. This paper presents a new model-based approach to tracking dynamic orientation using accelerometers. However, the inverted pendulum model applied consists of an unstable coupled set of differential equations which cannot be solved by conventional solution approaches. A unique method is developed which allows a separation of the unstable transient part of the solution from the stable solution leaving the required orientation. The methods are validated experimentally for dynamic translation and rotation in a vertical plane using accelerometer data from an inverted pendulum apparatus. The results are shown to outperform existing state of the art, gyroscope based methods. This proof of concept shows how low-cost accelerometer sensors can potentially to improve head tracking in dynamic AR environments.