Technical Details and Ergonomical Aspects of Gesture Recognition Applied in Intelligent Home Environments

This report shows in full detail how to realize a gesture recognition system for controlling appliances in home environments. It focusses on the image processing aspects and the calibration of the cameras and it also clariies details on ergo-nomic remote control of devices by gestures with the help of a vision system. The motion detection, the modelling and prediction of motion by the Kalman Filter are described. A main interest was to show through the example ARGUS, how the Kalman Filter should be modelled for a physical motion. Some hints for an intuitive dialogue and remarks about home bus systems are outlined. Most aspects mentioned in this report were realized in the ARGUS prototype.