In the not - so - removed time to come of hyper - surveillance , could your " pa dance " be used to distinguish you in the middle of a bustling club ?
New research by the University of Jyväskylä in Finland has used motion seizure technology and auto learning to understand how different multitude wobble and groove to euphony . It turns out , your dance moves are almost as alone as your fingermark and can be used to personally place you with a surprising level of accuracy . what is more , the squad also says that the direction you trip the light fantastic could be used to understand your personality and make insights into the mood you ’re in .
" It seems as though a person ’s dance movements are a kind of fingerprint , " Dr Pasi Saari , Colorado - author of the study and data psychoanalyst , said in astatement . “Each person has a unique cause key signature that stays the same no matter what sort of music is play . "
As reported in theJournal of New Music Research , a amount of 73 volunteers were play eight genres of Western music – these include Blues , Country , Dance / Electronica , Jazz , Metal , Pop , Reggae , and Rap – and but told to dance in any agency that feel natural . The motion - tracking engineering science kept tab on dozens of stage on the body , keep an eye on the direction and speed at which they moved .
The original musical theme behind the work was to see if computers can guess which genre of music participant were dancing to by analyzing their movements , but it examine to be surprisingly bad at identifying the musical genre . The “ promiscuous ” to guess was Metal music , which was accurately identified around 53 per centum of the fourth dimension , but dada medicine was identified less than 10 percent of the time .
It did , however , appear to be remarkably accurate at approximate which of the participant was trip the light fantastic .
While the computer was only able-bodied to correctly identify the music genre around 30 pct of the time , it managed to correctly identify which of the 73 people was dancing around 94 per centum of the time . Regardless of the genre , the computer was able to recount .
A similarpiece of research , published in 2017 , found that a person ’s manner of walking can also provide penetration into their personality and mood .
Fortunately , the researchers are surefooted that this field of inquiry wo n’t be used for minatory ending , such asmass - surveillance , just yet . Instead , they hope to build up more evidence about what our movements say about us , our personality , and our culture .
“ We ’re less interested in program like surveillance than in what these results tell us about human musicalness , ” explained Dr Emily Carlson , the first author of the subject field . “ We have a caboodle of new interrogation to ask , like whether our campaign signatures stay the same across our lifespan , whether we can detect differences between cultures found on these move signatures , and how well humans are able to greet somebody from their dance movement compared to computer .
“ Most inquiry raises more interrogative than answers and this discipline is no exception . ”
