In September and October 2012, the work was focused on gesture and action recognition. So far, it is based on Description Logics (DLs) which uses a taxonomy about actions, activities and gestures as a knowledge base. Recognition results are inferred directly by providing assertional knowledge which state information about human kinematics and robotic state. Moreover, preliminary linking concepts have been included into the knowledge base in order to allow for incorporation of stochastical methods for action and gesture recognition.

In May and June the work was focused on the training of the classifier for the body part detection, and the build-up of the multi-camera setup including the implementation of the calibration and registration step. Unfortunately the training of the classifier did not deliver the expected results, so that the existing approach will be used for the ICP tracking. After the installation of the sensors in the experiment setup, and the implementation of the calibration and registration step, the sensor system now consists of 3 Kinect and one time-of-flight sensor.