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Human arm mimicking using visual data

Uskarcı, Algan
This thesis analyzes the concept of robot mimicking in the field of Human-Machine Interaction (HMI). Gestures are investigated for HMI applications and the preliminary work of the mimicking of a model joint with markers is presented. Two separate systems are proposed finally which are capable of detecting a moving human arm in a video sequence and calculating the orientation of the arm. The angle of orientation found is passed to robot arm in order to realize robot mimicking. The simulations show that it is possible to determine human arm orientation either by using some markers or some initial background image information or tracking of features.