Kinect DJ Maxx

“Because the computer removes you from your body, the body should be strongly engaged. Because the computer’s activity takes place on the tiny playing fields of integrated circuits, the encounter with the computer should take place in human-scaled physical space. Because the computer is objective and disinterested, the experience should be intimate.” (D.Rokeby, 2000 cited in Plohman A, 2002).


Main goal of Djs in general is to share and enjoy music, through live mixing. Unfortunately, interaction with the public is sometimes restricted to his minimum value. Mainly Djs perform with tools such as turntables and computers or other electronic devices. Those devices could be defined as restrictive; on the way that performer reveal partially his interaction with his interfaces to the audience. For consequence a “poor effect” is created on audience’s engagement giving the impress that DJs have a lack of presence or control over their crowd.


Experiments were conducted using multiples ways of interaction between Djs and their crowd but regrettably those experiments did not generate interactions expected. This research will focus on interaction based on gesture recognition.


Gesture recognition is considerate as a more “natural” way to interact with computer by removing mechanical and restrictive devices such as keyboard or mouse. Since several years, researches were conducted on the used of gesture recognition in different fields in order to create new ways of interaction. Moreover nothing concrete was released publicly. The domain of realisation stayed restricted to the use of scientific or artists. At the end of 2010, Microsoft released Kinect to the public. This game controller use gesture recognition to interact with games and Xbox 360 interface. The democratisation and success of control based gesture device was due to the new degree of interaction, which provide a better player’s engagement of players in game play.


With the advent and democratisation of control based gesture devices, music performance and its audience interaction can be enhanced. The needed focus on the musical performance sometimes disables the Dj to monitor the crowd indeed at times Djs seem to lack presence or real control over their crowd.



Djs has problem to get proper engagement with their crowd.

Gesture recognition interaction is recognised to enhance engagement of users.


By associating these two environments together, gesture recognition interaction could be a solution to Djs issues.

The aim of this project is to create a control based gesture interface that would enhance interaction between the Dj and his crowd.


The project use Max For Live in order to create a link between a Kinect connected through OSCleton and Ableton Live. It gives the opportunity to choose which gestures will control the sound effected chosen.

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