Finger musical gesture recognition in 3D space without any tangible instrument for performing arts. (1st January 2015)

• Record Type: Journal Article
• Authors: Manitsaris, Sotiris; Tsagaris, Apostolos; Dimitropoulos, Kosmas; Manitsaris, Athanasios
• Is Part Of: International journal of arts and technology. Volume 8:Number 1(2015)
• Page Start: 11
• Page End: 29
• Publication Date: 2015-01-01
• Subjects: finger gesture recognition -- computer vision -- musical gestures -- music interaction -- intangible musical instruments -- performing arts -- image analysis -- fingertip identification -- video -- stochastic modelling -- feature extraction -- hidden Markov models -- HMM -- Gaussian mixture models -- sound control -- everyday gestures; Technology and the arts -- Periodicals; Computer art -- Periodicals; 700.285
• DOI: 10.1504/IJART.2015.067390
• Languages: English
• ISSNs: 1754-8853

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.