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Self-powered finger motion sensing for piano training based on the ionic hydrogel triboelectric nanogenerator. [PDF]
Zhang X, Mi Y.
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Music therapy in health care practice: promise, pitfalls, and policy implications. [PDF]
Lan YY +3 more
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Proceedings of the 5th Audio Mostly Conference: A Conference on Interaction with Sound, 2010
This paper deals with dynamics, i.e. loudness, in music. We developed models to describe and recreate dynamics properties of human musicians' expressive performances within a performance system. Their diversity and variability bears a particular challenge to the flexibility of such models.
Axel Berndt, Tilo Hähnel
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This paper deals with dynamics, i.e. loudness, in music. We developed models to describe and recreate dynamics properties of human musicians' expressive performances within a performance system. Their diversity and variability bears a particular challenge to the flexibility of such models.
Axel Berndt, Tilo Hähnel
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Music Perception, 2014
Musicians anticipate and monitor the expressive effects of their actions during performance. Previous research suggests that the ability to imagine desired outcomes can partially compensate when auditory feedback is absent, permitting continued performance even though information about whether these outcomes are realized is unavailable.
Laura Bishop +2 more
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Musicians anticipate and monitor the expressive effects of their actions during performance. Previous research suggests that the ability to imagine desired outcomes can partially compensate when auditory feedback is absent, permitting continued performance even though information about whether these outcomes are realized is unavailable.
Laura Bishop +2 more
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EEG dynamics during music appreciation
2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2009This study explores the electroencephalographic (EEG) correlates of emotions during music listening. Principal component analysis (PCA) is used to correlate EEG features with complex music appreciation. This study also applies machine-leaning algorithms to demonstrate the feasibility of classifying EEG dynamics in four subjectively-reported emotional ...
Yuan-Pin, Lin +2 more
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Generating Music from Flocking Dynamics
2012 American Control Conference (ACC), 2012We explore different approaches for generating music from the flocking dynamics of groups of mobile autonomous agents following a simple decentralized control rule. By developing software that links these dynamics to a set of sound wave generators, we study how each approach reflects sonically the transition to collective order and which produces ...
C. Huepe, R. F. Cadiz, M. Colasso
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