Vibrotactile intensity and frequency information in the Pacinian system: A psychophysical model

Bensmaı̈a, Sliman J.; Hollins, Mark; Yau, Jeffrey M.

doi:10.3758/bf03193536

Cited by 126 publications

(96 citation statements)

References 41 publications

(87 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In contrast, skin deformation at less than a few tens of Hertz, at which our method may incur significant errors, is regarded as being less effective for the perception of fine textures [6,24]; nonetheless, they still influence the perception of coarse surfaces. At the high-frequency range, in which the deformation is smaller than 10 −7 m, because of the limitations of the sensitivity of the force sensor and the noise level of the accelerometer, the accuracy of our method has not been validated; nonetheless, such a small deformation is unlikely to influence the perception of texture as previously mentioned.…”

Section: Accuracy Of the Estimatesmentioning

confidence: 94%

“…In terms of texture and vibrotactile perception, the phases of the skin vibrations were less influential, and the power or intensity of the spectral density in the frequency domain are considered important [6,8,[23][24][25]. Some researchers have demonstrated that virtual textures or surfaces can be presented even without a representation of the phase information of the vibratory signals [26][27][28].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Wearable finger pad deformation sensor for tactile textures in frequency domain by using accelerometer on finger side

et al. 2017

View full text Add to dashboard Cite

In this study, we set out to develop a method for estimating the fine and fast shear deformation of a finger pad, that is, the palm side of a fingertip, as it scans the surface of a material. Using a miniature accelerometer, we measured the acceleration at the radial skin, the deformation of which is accompanied by the shear deformation of the finger pad. Using a transfer function, as specified in a separate experiment, between the pad and side of a finger, we estimated the shear deformation of the finger pad in the frequency domain. A comparison between an estimate based on the accelerometer and another based on a precise force sensor for the tangential component of the interaction force between the fingertip and material surfaces showed that the estimation accuracy was sufficient for frequencies in excess of approximately 20-50 Hz and for skin deformation above 10 −6 m. Our technique merely requires that an accelerometer be attached to the side of the fingertip, which allows active texture exploration. These estimates or measurements of the finger skin deformation caused by touching materials will help us to comprehend the relationships between material surfaces and the resulting texture sensations.

show abstract

Section: Accuracy Of the Estimatesmentioning

confidence: 94%

Section: Introductionmentioning

confidence: 99%

Wearable finger pad deformation sensor for tactile textures in frequency domain by using accelerometer on finger side

et al. 2017

View full text Add to dashboard Cite

show abstract

“…Frequency specificity is well established in the auditory domain through perceptual studies showing criticalband filtering (Zwicker, 1961) as well as through neurophysiological and imaging studies that demonstrate tonotopic mapping from the brainstem to the auditory cortex (e.g., Talavage et al, 2004). Psychophysical studies also provide some evidence for critical-band filtering in the tactile system (e.g., Bensmaia et al, 2005); however, these tactile filters may be less sharply defined than auditory filters (see Wilson et al, 2010a,b). a) Author to whom correspondence should be addressed.…”

Section: Introductionmentioning

confidence: 99%

Auditory and tactile gap discrimination by observers with normal and impaired hearing

Desloge

Reed

Braida

et al. 2014

The Journal of the Acoustical Society of America

View full text Add to dashboard Cite

Temporal processing ability for the senses of hearing and touch was examined through the measurement of gap-duration discrimination thresholds (GDDTs) employing the same low-frequency sinusoidal stimuli in both modalities. GDDTs were measured in three groups of observers (normalhearing, hearing-impaired, and normal-hearing with simulated hearing loss) covering an age range of 21-69 yr. GDDTs for a baseline gap of 6 ms were measured for four different combinations of 100-ms leading and trailing markers (250-250, 250-400, 400-250, and 400-400 Hz). Auditory measurements were obtained for monaural presentation over headphones and tactile measurements were obtained using sinusoidal vibrations presented to the left middle finger. The auditory GDDTs of the hearing-impaired listeners, which were larger than those of the normal-hearing observers, were well-reproduced in the listeners with simulated loss. The magnitude of the GDDT was generally independent of modality and showed effects of age in both modalities. The use of different-frequency compared to same-frequency markers led to a greater deterioration in auditory GDDTs compared to tactile GDDTs and may reflect differences in bandwidth properties between the two sensory systems.

show abstract

“…The weighted power spectrum described the variations of subjective quality indices to an accuracy of approximately 60%, while the linear combination of the weighted power and amplitude spectra did so by approximately 80%. Bensmaïa et al [10], [11] found that the Pacinian-filtered power spectrum of vibrotactile stimuli or cutaneous mechanical vibrations correlated with the perceptual intensities of high-frequency vibrations or perceived roughness of fine textures. On the other hand, the experimental results of the present study suggest that for vibrotactile material textures that are composed of low or intermediate frequencies of around tens of hertz, the combination of threshold-filtered power and amplitude spectra well describes the subjective differences in the textures, although its application is currently limited to two types of textures.…”

Section: Gross Analysis: Wood and Sandpapermentioning

confidence: 99%

“…They weighted the frequency power spectrum of cutaneous vibrations by the square of the inverse quasi-detection threshold curve of Pacinian corpuscles. These Pacinian-filtered power spectra also correlated with the subjective intensities of vibrotactile stimuli at high frequencies [11]. They limited their studies to high-frequency vibrations; however, we need to develop an objective index taking account of the stimuli of low-or middle-frequency bands around tens of hertz, so that the index can be applicable to material-like textures that have frequency components across wide frequency bands.…”

Section: A Related Studies: Pacinian-filtered Power Spectrummentioning

confidence: 99%

An objective index that substitutes for subjective quality of vibrotactile material-like textures

Okamoto

Yamada

2011

2011 IEEE/RSJ International Conference on Intelligent Robots and Systems

View full text Add to dashboard Cite

Abstract-The presentation of textures is a major application of vibrotactile displays. Lossy data compression is an effective approach for reducing a data size of such textures when delivering them through the Internet. This study developed an objective index that well described material-like textures' quality changes caused by data compression processes. We introduced a linear combination of the power and amplitude spectra that were weighted by the inverse of a detection threshold curve of vibrotactile stimuli. This combination described the quality deterioration of compressed textures to an accuracy of approximately 80%. These objective indices enhance the development of the lossy data compression algorithms without psychological evaluation tests of subjective quality changes in the textures.

show abstract

Vibrotactile intensity and frequency information in the Pacinian system: A psychophysical model

Cited by 126 publications

References 41 publications

Wearable finger pad deformation sensor for tactile textures in frequency domain by using accelerometer on finger side

Wearable finger pad deformation sensor for tactile textures in frequency domain by using accelerometer on finger side

Auditory and tactile gap discrimination by observers with normal and impaired hearing

An objective index that substitutes for subjective quality of vibrotactile material-like textures

Contact Info

Product

Resources

About