Can we determine the position of clappers’ hands from the sound of their applause?

Primitive though they may be , given just a simple audio recording of a single handclap , is it potential to determine the hand - configuration of the clapper via a computing machine - assisted digital psychoanalysis of the auditory sensation ?

Researchers Antti Jylhä and Cumhur Erkut at theLaboratory of Acoustics and Audio Signal Processing , Helsinki University of Technology , TKK , Espoo , Finland reveal that , yes , it is .

Their paper : deduct THE deal CONFIGURATION FROM HAND CLAPPING SOUNDS(published in Proc . of the eleventh Int . Conference on Digital Audio Effects ( DAFx-08 ) , Espoo , Finland , September 1 - 4 , 2008 ) describes their experimentation in detail .

Dellinspiron2in1

Using a combination ofFFTfiltering and theSteiglitz - McBride algorithmon 40 recordings of clap ( two clapper , 20 claps each ) , the team have discovered eight discrete classes of clap . Named as : P1 , P2 , P3 , A1 , A2 , A3 , A1 + and A1- The results show too that “ … it is possible to make illation of the hand configuration of a clapper given the ensue sound . ”

The newspaper also points to the possibility of more - advanced clap depth psychology techniques that may be of pastime to security researcher – but which could perhaps be of concern to privacy - right group . Clapper Recognition . In the future , might it be possible to electronically key the clap - signature of a particular individual embedded within a crowd of clappers ? “ The outcome also suggest that the claps of individual clappers may incorporate systematic difference from other mass ’s claps … ” say the inquiry squad .

BONUS : The Helsinki University of Technology Laboratory of Acoustics and Audio Signal Processing has create a software package called ClaPD – one of the very few , perhaps the only , cross - platform freeware bastard - applause coevals software program . A video identify the softwarecan be view ( and listen ) here(.wmv data formatting )

Bark Watch