Christopher Clarke, Alessio Bellino, Augusto Esteves, Eduardo Velloso and Hans Gellersen.
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (Heidelberg, Germany). ACM, 2016.
Recent works have explored the concept of movement correlation interfaces, in which moving objects can be selected by matching the movement of the input device to that of the desired object. Previous techniques relied on a single modality (e.g. gaze or mid-air gestures) and specific hardware to issue commands. TraceMatch is a computer vision technique that enables input by movement correlation while abstracting from any particular input modality. The technique relies only on a conventional webcam to enable users to produce matching gestures with any given body parts, even whilst holding objects. We describe an implementation of the technique for acquisition of orbiting targets, evaluate algorithm performance for different target sizes and frequencies, and demonstrate use of the technique for remote control of graphical as well as physical objects with different body parts.