Generic Machine Learning algorithms for Real-time Human-Computer Interaction KU Leuven
The goal is to build a generic classifier for gesture interaction applications. This kind of applications use directed, conscious intentional interactions that are clearly defined in time and space, for example gestures for selection and manipulation. The classifier needs to be generic and can be applied to different types of sensors and different gestures.The sensors which will be discussed are inertial measurement units (a combination of ...