Finger musical gesture recognition in 3D space without any tangible instrument for performing arts
by Sotiris Manitsaris; Apostolos Tsagaris; Kosmas Dimitropoulos; Athanasios Manitsaris
International Journal of Arts and Technology (IJART), Vol. 8, No. 1, 2015

Abstract: This paper proposes a marker-less computer vision methodology for the simultaneous recognition of complex finger musical gestures performed in space without any tangible musical instrument. Image analysis techniques are applied in order to detect and identify the fingertips on a video. Scale and rotation invariance techniques are also applied. The finger gesture recognition and prediction is based on the stochastic modelling of the extracted high-level features with the help of hidden Markov models and Gaussian mixture models. The applications concern directly the finger gesture control of sound in performing arts. The proposed system can be considered in the long term as an intangible musical instrument that implies 'everyday gestures' and reduces the gap between non-musicians or blind people and music.

Online publication date: Mon, 09-Feb-2015

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Arts and Technology (IJART):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com