Computers Can Accurately Identify You Based On Your Dance Moves

by | Feb 27, 2020 | Technology News

In the not-so-distant way forward for hyper-surveillance, might your father dance be wont to establish you within the middle of a active club?
New analysis by the University of Jyväskylä in Suomi has used motion capture technology and machine learning to grasp however completely different folks shimmy and groove to music. It seems, your dance moves square measure nearly as distinctive as your fingerprint and might be wont to in person establish you with a stunning degree of accuracy. what is more, the team conjointly says that the method you dance may well be wont to perceive your temperament and gain insights into the mood you’re in.

It looks like a person’s dance movements square measure a sort of fingerprint, Dr Pasi Saari, author of the study and information analyst, same in a very statement. everyone features a distinctive movement signature that stays an equivalent regardless of what reasonably music is enjoying. As reported within the Journal of recent Music analysis, a complete of seventy three volunteers were compete eight genres of Western music – these enclosed Blues, Country, Dance/Electronica, Jazz, Metal, Pop, Reggae, and Rap – and easily told to bounce in any method that felt natural. The motion-tracking technology unbroken tabs on dozens of points on the body, observation the direction and speed at that they captive.

The original plan behind the study was to visualize if computers will guess that genre of music participants were recreation to by analyzing their movements, however it tried to be the simplest to guess was Metal music, that was accurately known around fifty three % of the time, however pop was known but ten % of the time. It did, however, seem to be remarkably correct at estimation that of the participants was recreation.

As the computer only managed to correctly identify the music genre around 30 % of the total time, it was able to correctly identify which of the 73 people was dancing around 94% of the time. Not concerned about the genre, the computer was able to recognize. A same kind of research, published in 2017, showed that walk of a person can also prove insights into their personality and mood.

Fortunately, the analyzers square measure assured that this field of research won’t be used for sinister ends, like mass-surveillance, just yet. Instead, they hope to make up additional proof concerning what our movements say concerning America, our temperament, and our culture.

We’re less {interested in curious concerning|inquisitive about fascinated by} applications like police investigation than in what these results tell America about human musicalness, explained Dr Emily Carlson, the primary author of the study. we’ve got a great deal of recent inquiries to raise, like whether or not our movement signatures keep an equivalent across our period of time, whether or not we are able to notice variations between cultures supported these movement signatures, and the way well humans square measure able to acknowledge people from their dance movements compared to computers.
Most analysis raises additional queries than answers and this study is not any exception.

By: Tom Hale

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