School of Science and Technology

Dance-Music correlation

Motivation

The way humans move depends on a wide range of conditions: the shape of the environment, other people, humans' internal motivation etc. In this project, we want to investigate how music affects the motion of dancers.

Goals

The goal is to develop a method of predicting the motion of dancers based on playing music.

Tasks

  • Extracting Signal from music and mocap data
  • Finding a correlation between the data and sound
  • Identifying how music affects the dancers

Necesary skills

  • Programming in Python
  • Basic knowledge of machine learning

 

Contact

Johannes Stork and Tomasz Kucner