Hand Pattern Recognition for Orchestra Conductor using $P­Recognition

Abstract / Excerpt:

Technology in its rapid progression easily changes the people’s lives making them more convenient. In the music scene where technology has a big role, we can rarely see systems that can control and manipulate music contents, especially in conducting, where the conductor directs a musical performance by way of visible gestures, but to acquire or practice the skill of conducting can be extremely difficult. This paper sought to achieve a system where the user himself can interact with the system by conducting hand gestures; the system will then treat those movements as musical interpretation that can modify the music. There are different ways on how to convey musical decisions to the musicians, however this study is focused on the hand movements and because the style of conducting differs from one conductor to another, the system itself will not be limited to generic movements. The challenge therefore is how to utilize Leap Motion, a hand and finger motion detector with the use of $P­Recognition, an efficient method in developing recognition systems, to achieve the system. This paper will provide valuable information regarding the use of a controller, Leap motion’s hand detector with $P­Recognition in developing a virtual orchestra where the user can be a conductor that can direct a musical performance by using hand gestures that can be interpreted into a musical pieces that can alter the music performed on real time.

Info
Source InstitutionAteneo de Davao University
UnitComputer Studies
AuthorsKirt Jan Eau Guias, Jose Angelo Sumatra
Page Count30
Place of PublicationDavao City
Original Publication DateMarch 1, 2015
Tags $P, Accelerometer Gesture Recognition, Feature sets, Hand Gesture Recognition, Leap motion, Orchestra Conductor, Pattern Recognition
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