The goal of this project is to create a computer game that generates an image of a humanlike dummy whose shape the player must emulate with his or her body. This is done with the help of a Microsoft Kinect motion sensor. We’ve worked with prototyping and game design theory, to reach this goal. The game has been programmed in Processing and relies heavily on the SimpleOpenNI library, to operate the Kinect and utilize its skeleton tracking algorithm. The solution we have found to reach the projects goal was to calculate the angles of the player’s skeleton tracked limbs, in relation to the Kinects x-axis. The limbs chosen for comparison were arms and legs. This solution allows the program to quantify the player’s body independently of its size and proportion. The dataset generated by the quantification of the position of the player’s body, consists of eight angles. This dataset is subsequently compared to a humanlike dummy, which is drawn in the game from eight comparable angles. The dummy’s angles are computer-generated by an algorithm that ensures that the dummy’s shape is physically possible to emulate. The game is won when the player positions his or her body to sufficiently match the dummy’s limbs.
|Uddannelser||Datalogi, (Bachelor/kandidatuddannelse) Bachelor el. kandidat|
|Udgivelsesdato||16 jan. 2014|
- skeleton tracking
- computer game
- computer science