From touch to string vibrations. I: Timing in the grand piano action

Askenfelt, Anders; Jansson, Erik V.

doi:10.1121/1.399933

Cited by 49 publications

(39 citation statements)

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“…Authors have suggested [2] that the pianistic touch lied precisely in this feature, which could seem insignificant at first sight. Therefore, we believe that discriminating different kinds of attacks could be possible if this flexible shank was part of our model and this is the object of a recent article [12].…”

Section: Conclusion and Prospectsmentioning

confidence: 98%

Time domain simulation of a piano. Part 1: model description

2014

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Abstract. The purpose of this study is the time domain modeling of a piano. We aim at explaining the vibratory and acoustical behavior of the piano, by taking into account the main elements that contribute to sound production. The soundboard is modeled as a bidimensional thick, orthotropic, heterogeneous, frequency dependent damped plate, using Reissner Mindlin equations. The vibroacoustics equations allow the soundboard to radiate into the surrounding air, in which we wish to compute the complete acoustical field around the perfectly rigid rim. The soundboard is also coupled to the strings at the bridge, where they form a slight angle from the horizontal plane. Each string is modeled by a one dimensional damped system of equations, taking into account not only the transversal waves excited by the hammer, but also the stiffness thanks to shear waves, as well as the longitudinal waves arising from geometric nonlinearities. The hammer is given an initial velocity that projects it towards a choir of strings, before being repelled. The interacting force is a nonlinear function of the hammer compression. The final piano model is a coupled system of partial differential equations, each of them exhibiting specific difficulties (nonlinear nature of the string system of equations, frequency dependent damping of the soundboard, great number of unknowns required for the acoustic propagation), in addition to couplings' inherent difficulties.Mathematics Subject Classification. 00A71, 00A65, 65P05, 65N25, 35Q72, 35L05.

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Section: Conclusion and Prospectsmentioning

confidence: 98%

Time domain simulation of a piano. Part 1: model description

2014

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“…The resistant force provided by the traditional piano action mechanism varies from 0.5 N (the minimum force that initiates key motion), to (at fortissimo nuance, according to [D. Parlitz, 1998]). Extensive measurements of the kinematics of a grand piano action mechanism [Askenfelt and Jansson, 1990] [Askenfelt and Jansson, 1991] indicate that the duration of the key motion varies from 20 to 250 ms depending on the nuance whereas the key velocity varies from 0.1 m.s -1 to 0.6 m.s -1 . We present here a system aimed at reproducing the dynamical behavior of the piano action.…”

Section: Haptic Interface For Musical Keyboardsmentioning

confidence: 99%

Magneto-Rheological Technology for Human-Machine Interaction

Lozada¹,

Roselier²,

Periquet³

et al. 2010

Mechatronic Systems Applications

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“…Wessel and Wright [36] for example, state a maximum latency of 10 ms between a stimulus and its response for control gestures and resulting sounds on a computer. However, in contrast Askenfelt und Janson [3] refer to an acceptable latency of up to 100 ms between the touch of a piano key and its hammer striking the string. Pneumatic pipe organs may even have latencies of several hundred milliseconds without affecting the musicians performance.…”

Section: Limitationsmentioning

confidence: 99%

“…Questions 1-8 were ranked on a 4-point Likert Scale: not at all (1), rudimentary (2), good (3), excellent (4). Questions 9 and 10 were ranked on a 5-point Likert Scale: very pleasant (1), pleasant (2), neutral (3), unpleasant (4), very unpleasant (5). For details regarding each specific question see Table 1.…”

Section: Questionnairementioning

confidence: 99%

SONIGait: a wireless instrumented insole device for real-time sonification of gait

Horsak

Dlapka

Iber

et al. 2016

J Multimodal User Interfaces

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The treatment of gait disorders and impairments are major challenges in physical therapy. The broad and fast development in low-cost, miniaturized, and wireless sensing technologies supports the development of embedded and unobtrusive systems for robust gait-related data acquisition and analysis. Next to their applications as portable and lowcost diagnostic tools, such systems are also capable of use as feedback devices for retraining gait. The approach described within this article applies movement-based sonification of gait to foster motor learning. This article aims at presenting and evaluating a prototype of a pair of instrumented insoles for real-time sonification of gait (SONIGait) and to assess its immediate effects on spatio-temporal gait parameters. For this purpose, a convenience sample of six healthy males (age 35 ± 5 years, height 178 ± 4 cm, mass 78 ± 12 kg) and six healthy females (age 38 ± 7 years, height 166 ± 5 cm, mass: 63±8 kg) was recruited. They walked at a self-selected walking speed across a force distribution measurement system (FDM) to quantify spatio-temporal gait parameters during walking without and with five different types of sonification. The primary results from this pilot study revealed that participants exhibited decreased cadence (p < 0.01) and differences Results suggest that sonification has an effect on gait parameters, however further investigation and development is needed to understand its role as a tool for gait rehabilitation.

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From touch to string vibrations. I: Timing in the grand piano action

Cited by 49 publications

References 0 publications

Time domain simulation of a piano. Part 1: model description

Time domain simulation of a piano. Part 1: model description

Magneto-Rheological Technology for Human-Machine Interaction

SONIGait: a wireless instrumented insole device for real-time sonification of gait

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