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Caractéristiques cinématiques et perceptuelles observées lors d'interactions haptiques avec des cordes inspirées de gestes musicaux

Year: 2025
Type: dissertation
Abstract: Reproducing and simulating the haptic sensations involved in the playing of traditional musical instruments remains a key challenge in the development of Digital Musical Instruments (DMIs). While performing, musicians are subjected to complex and dynamic haptic feedback, intrinsically coupled to their gestures. These haptic cues are essential for the performer, as the information they convey about the instrument's dynamic state enables precise and nearly instantaneous movement adjustments — which contributes significantly to musical performance. Since touch plays a crucial role in musical expression, accurately replicating these haptic cues in a DMI requires a thorough understanding of how they are both perceived and produced by performers. In that regard, this work investigates both the performer's haptic perception and the temporal dynamics of the interaction, with a specific focus on haptic interactions involving guitar strings.The first part of this work investigates an initial approach to simulating the sensation of string contact using a tactile illusion based on thermal modulation over a glass surface. Building on the insights gained, emphasis is placed on the perceptual and kinematic characterization of typical actions involved in guitar playing. As such, three studies were designed to (1) analyze the plucking dynamics across multiple measurement scales, (2) identify the string parameters to which the somatosensory system is most responsive, (3) estimate humans' haptic sensitivity to some of these parameters, and (4) assess how expertise modulates both perception and motor control. This work ultimately aims to deepen our understanding of the perceptual processes involved in the playing of plucked string instruments, and to identify the dynamic mechanisms engaged during the plucking of a guitar string.
Author: Mayet, Matej
Language: English
Open Access status: green
OpenAlex ID: W7125464029
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