The structure and function of pacinian corpuscles: A review

Bell, Jonathan; Bolanowski, Stanley J.; Holmes, Mark H.

doi:10.1016/0301-0082(94)90022-1

Cited by 237 publications

(222 citation statements)

References 243 publications

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“…These accelerations were then mapped onto a single axis using the DFT321 method described in [13], which preserves the spectral and temporal properties of the three-axis signal. This conversion is motivated by the fact that humans cannot discriminate the direction of high-frequency vibrations [4]. Fig.…”

Section: Data Collection and Preprocessingmentioning

confidence: 99%

Refined methods for creating realistic haptic virtual textures from tool-mediated contact acceleration data

Culbertson

Romano

Castillo

et al. 2012

2012 IEEE Haptics Symposium (HAPTICS)

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Dragging a tool across a textured object creates rich high-frequency vibrations that distinctly convey the physical interaction between the tool tip and the object surface. Varying one's scanning speed and normal force alters these vibrations, but it does not change the perceived identity of the tool or the surface. Previous research developed a promising data-driven approach to embedding this natural complexity in a haptic virtual environment: the approach centers on recording and modeling the tool contact accelerations that occur during real texture interactions at a limited set of force-speed combinations. This paper aims to optimize these prior methods of texture modeling and rendering to improve system performance and enable potentially higher levels of haptic realism. The key elements of our approach are drawn from time series analysis, speech processing, and discrete-time control. We represent each recorded texture vibration with a low-order autoregressive moving-average (ARMA) model, and we optimize this set of models for a specific tool-surface pairing (plastic stylus and textured ABS plastic) using metrics that depend on spectral match, final prediction error, and model order. For rendering, we stably resample the texture models at the desired output rate, and we derive a new texture model at each time step using bilinear interpolation on the line spectral frequencies of the resampled models adjacent to the user's current force and speed. These refined processes enable our TexturePad system to generate a stable and spectrally accurate vibration waveform in real time, moving us closer to the goal of virtual textures that are indistinguishable from their real counterparts. ABSTRACTDragging a tool across a textured object creates rich high-frequency vibrations that distinctly convey the physical interaction between the tool tip and the object surface. Varying one's scanning speed and normal force alters these vibrations, but it does not change the perceived identity of the tool or the surface. Previous research developed a promising data-driven approach to embedding this natural complexity in a haptic virtual environment: the approach centers on recording and modeling the tool contact accelerations that occur during real texture interactions at a limited set of force-speed combinations. This paper aims to optimize these prior methods of texture modeling and rendering to improve system performance and enable potentially higher levels of haptic realism. The key elements of our approach are drawn from time series analysis, speech processing, and discrete-time control. We represent each recorded texture vibration with a low-order auto-regressive moving-average (ARMA) model, and we optimize this set of models for a specific tool-surface pairing (plastic stylus and textured ABS plastic) using metrics that depend on spectral match, final prediction error, and model order. For rendering, we stably resample the texture models at the desired output rate, and we derive a new texture model at each time step ...

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Section: Data Collection and Preprocessingmentioning

confidence: 99%

Refined methods for creating realistic haptic virtual textures from tool-mediated contact acceleration data

Culbertson

Romano

Castillo

et al. 2012

2012 IEEE Haptics Symposium (HAPTICS)

View full text Add to dashboard Cite

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“…Detailed surveys of the older literature on Pacinian corpuscles and the first hypotheses on their function can be found in refs. [1] and [4]. Bell et al [1] also provided an updated review of the structure and function of Pacinian corpuscles.…”

Section: Pacinian Corpuscles After Pacini's Studiesmentioning

confidence: 99%

“…[1] and [4]. Bell et al [1] also provided an updated review of the structure and function of Pacinian corpuscles. It has now been definitely established that these encapsulated nerve endings are widely distributed in the human body, where they are numerous in the skin and concentrated in the fingers, and have been found in many other structures (such as in articular capsules, on tendons and within muscles, near peripheral nerves, and in the urinary tract and bladder, as well as genital organs of both sexes).…”

Section: Pacinian Corpuscles After Pacini's Studiesmentioning

confidence: 99%

“…[1]) have elucidated that the Pacinian corpuscles are innervated by a myelinated axon, whose terminal segment is unmyelinated and has a bead-shaped ending. The neurite, that can divide in two or more endings, is surrounded by nonneuronal cytoplasmic layers arranged in concentric lamellae.…”

Section: Pacinian Corpuscles After Pacini's Studiesmentioning

confidence: 99%

“…These relatively large receptors (whose long axis is about 2500 #m in humans [1]) can even be seen with the naked eye, and their description dates back at least to the 18th century. Filippo Pacini, unaware of previous reports, rediscovered the corpuscles that were named after him, and struggled to bring his findings to the attention of the scientific community.…”

Section: Introductionmentioning

confidence: 99%

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Filippo Pacini: A determined observer

Bentivoglio

Pacini

1995

Brain Research Bulletin

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The life of Filippo Pacini (1812-1883) and his major scientific achievements are outlined. Pacini drew attention to the corpuscles named after him in 1831, when he was a medical student, and had to straggle for many years to convince the scientific community of the reliability and importance of his findings. In 1849 Pacini became professor of anatomy at the University of Florence. Creative scientist, innovative teacher, well aware that the use of the microscope represented a revolutionary approach, Pecini pursued histological studies until his death. He also first discovered in 1854 (30 years before Robert Koch) the causative agent of cholera, and firmly believed that the disease was contagious. Strong-willed, modest, and poor, Pacini received from his colleagues more recognition in the obituaries then during his life.

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Neural Basis of Haptic Perception

Johnson

2002

Stevens' Handbook of Experimental Psychology

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Haptic perception depends on four types of cutaneous mechanoreceptors. Combined psychophysical and neurophysiological research supports the idea that each of the four mechanoreceptive afferent systems innervating the hand serves a distinctly different perceptual function and that haptic perception can be understood as the sum of these functions. The evidence reviewed in this chapter supports the following synthesis: (1) SA1 mechanoreceptive afferent, which innervate the skin densely and are selectively responsive to points, edges and curvature, are responsible for form and texture perception. (2) RA mechanoreceptive afferents, which also innervate the skin densely, are responsible for motion detection. Their most important function is the provision of feedback signals about slip between the skin and an object held in the hand, which is critical for grip control. (3) Pacinian afferents, which are extremely sensitive, are responsible for the perception of distant events through vibrations transmitted to the hand through tools, objects, and probes held in the hand. (4) SA2 mechanoreceptors provide information about skin stretch. Perhaps their most important function is the provision of a neural image of skin stretch that signals the shape of the hand and fingers.

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The structure and function of pacinian corpuscles: A review

Cited by 237 publications

References 243 publications

Refined methods for creating realistic haptic virtual textures from tool-mediated contact acceleration data

Refined methods for creating realistic haptic virtual textures from tool-mediated contact acceleration data

Filippo Pacini: A determined observer

Neural Basis of Haptic Perception

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