Predicting the movement of the human arm by using electromyography (EMG) signals has been the subject of interest in many fields of science, including biomechanics, medicine and robotics. However, studies in the literature ...

In this thesis, we present a novel method that aims to generate labeled synthetic data for use in training drone detection deep learning models. Modern deep learning methods provide state-of-the-art performance on object ...

Sensors with inertial working principle are used in many different fields, especially in human modeling and navigation applications. Accelerometer and gyroscope sensors, which are the main components of inertial sensors, ...

Within the scope of this study, three dimensional space ship models will be generated using shape grammars. Shape grammars are rule sets for the parametric generation algorithm. Using this rule set, models, which have ...

Hands are the essential limbs of humans which they use for interacting with their environ- ments. Catching, holding, moving, touching, and many other interactions are done by hand. The hand has a highly complex anatomical ...

Main aim of this thesis is to produce procedurally generated three-dimensional cities that can be used in simulation and games. The produced city will be separated regions that called zones from the inner city to outer ...

Realistic character animations can be obtained using motion capture techniques. However, these captured motions can be recorded only for predetermined scenarios. A virtual character can have infinite variety of physical ...