The course

This course was the final elective of the Master program and concentrated on the design of intelligent systems. To prepare this process, the topic was introduced in several lectures surrounding artificial intelligence, sensors and machine learning. Based on this input, groups of students had to develop an intelligent system inspired by machine learning. 

This process included the design of a concept and the implementation. 

The initial stage was the development and presenting of a concept that uses one or more of the newly introduced topics. 

The main body of work was the implementation of the system, including the acquiring of data.

 

Project group two developed a system to support professional dancers in their work. Instead of having to document dance moves manually when developing a new dance choreography, the system is able to recognize these moves and places them on a timeline with the help of a Kinect device.

This functionality could be achieved through machine learning. 

In the process of the project, a big amount of data was generated in the form of vectors between joints of dancers. This data was then classified and appointed to the different dance postures to be fed into the learning algorithm. 

The result is a neural network with the ability to recognize dance moves and the design of an interface to implement this system into the dancer’s daily lives as well as a system of possible implementations based on the interface.