Constructing and Evaluating Vibration Magnitude Models for Visualization

Wang, Yuan; Turner, Martin; Hewitt, W. T.

doi:10.1109/haptics.2008.4479993

Cited by 1 publication

(1 citation statement)

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“…Vibrations of equal amplitude are perceived as more intense at frequencies around 200 Hz. Models have been developed to predict the intensity of a single sine wave based on its amplitude and frequency [20], and also for signals comprising a sum of two sine waves [21]. Furthermore, humans possess the ability to distinguish frequency differences when they deviate by more than 20%.…”

Section: A Intensity and Frequency Perceptionmentioning

confidence: 99%

The high/low frequency balance drives tactile perception of noisy vibrations

Bernard,

Thoret,

Huloux

et al. 2024

IEEE Trans. Haptics

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Noisy vibrotactile signals transmitted during tactile explorations of an object provide precious information on the nature of its surface. Understanding the link between signal properties and how they are interpreted by the tactile sensory system remains challenging. In this paper, we investigated human perception of broadband, stationary vibrations recorded during exploration of textures and reproduced using a vibrotactile actuator. Since intensity is a well-established perceptual attribute, we here focused on the relevance of the spectral content. The stimuli were first equalized in perceived intensity and subsequently used to identify the most salient spectral features using dissimilarity estimations between pairs of successive vibration. Based on dimensionally reduced spectral representations, models of dissimilarity ratings showed that the balance between low and high frequencies was the most important cue. Formal validation of this result was achieved through a Mushra experiment, in which participants assessed the fidelity of resynthesized vibrations with various distorted frequency balances. These findings offer valuable insights into human vibrotactile perception and establish a computational framework for analyzing vibrations as humans do. Moreover, they pave the way for signal synthesis and compression based on sparse representations, holding significance for applications involving complex vibratory feedback.

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Section: A Intensity and Frequency Perceptionmentioning

confidence: 99%