Algorithm can identify a person by looking at their dance style | Tech & Science - Digital Journal

A new study finds that each of us responds to music, if we elect to dance or shuffle, in a movement that is almost the same and characteristic of the individual, according to
Dr. Tim Sandle, Digital Journal's Editor-at-Large for science news.

Photo:  Digital Journal

Now computers can identify the dancer with pinpoint accuracy. 

In other words, the research from the University of Jyväskylä, indicates that the way you dance is unique, and from the subtle differences between dance patterns, algorithms can tell it's you rather than someone else.

The objective of the research was to apply machine learning to understand how and why music affects people the way that it does. 

To explore this question, the Finnish scientists used motion capture technology (much like the technology now common movies with a CGI element) to gain an insight about the uniqueness of dance moves and to also extrapolate what the dance move might say about the person...

This led one of the researchers, Dr. Pasi Saari, to summarize: “It seems as though a person's dance movements are a kind of fingerprint… Each person has a unique movement signature that stays the same no matter what kind of music is playing."

The study has been published in the Journal of New Music Research. The research paper is titled “Dance to your own drum: Identification of musical genre and individual dancer from motion capture using machine learning.” 
Read more...

Source: Digital Journal