Experimental research on the tactile perception from fingertip skin friction

Chen, Si; Ge, Shirong

doi:10.1016/j.wear.2016.11.014

Cited by 35 publications

(27 citation statements)

References 59 publications

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“…The amplitude of the P300 was found to be higher for fabric as compared to paper samples. The latency of the P300 peak identifies the different textures [105]. Another study confirmed the correlation of the P300 peak characteristics in an oddball paradigm with the discrimination between surfaces of different roughness.…”

Section: Discriminative Touchmentioning

confidence: 61%

EEG-Based Neurohaptics Research: A Literature Review

Alsuradi

Park²,

Eid³

2020

IEEE Access

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Neurohaptics is the field of study that strives to understand the complex neural representation provoked in response to tactile and/or kinesthetic stimuli. This field has garnered a noticeable attention over the past decade not only in neuro-scientific research but also in medical, marketing and engineering fields. In this paper, we review existing literature on Electroencephalography (EEG)-based neurohaptic studies charting out the main themes and significant findings. Furthermore, we provide a brief review of the EEG analytical methods commonly utilized in the neurohaptic domain. Also, we present a case study with the complete flow of conducting neurohaptic research studies. Lastly, we discuss limitations and provide directions for future neurohaptic research, such as: modeling quality of haptic experience, improving neurohaptic systems and neurohatpics in virtual reality.

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Section: Discriminative Touchmentioning

confidence: 61%

EEG-Based Neurohaptics Research: A Literature Review

Alsuradi

Park²,

Eid³

2020

IEEE Access

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“…The frictional interaction between the skin and the surface influences the tactile perception [1,2]. Indeed, the level of friction or the degree of roughness affects the characteristics of this perception [3] and, consequently, the brain state [4]. The activation of somatosensory cortex, posterior cingulate cortex, central-parietal sites, lateral parietal operculum, insula, lateral prefrontal cortex, and supplementary motor area have been reported by several research during tactile roughness discrimination [5][6][7].…”

Section: Introductionmentioning

confidence: 91%

Detection of Static, Dynamic, and No Tactile Friction Based on Non-linear dynamics of EEG Signals: A Preliminary Study

Baghdadi

Amiri

2020

Preprint

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Touching an object leads to a frictional interaction between the skin and the object. There are two kinds of friction: the first contact that leads to static friction and the dragging phase that leads to dynamic friction. No study has been performed to show the effect of friction type on EEG signals.The main goal of the current study is to investigate the effect of tactile friction on non-linear features of EEG signals. Participants performed a tactile task that each of its trials had three states: the sensation of 1) static friction, 2) dynamic friction, and 3) no friction. During the experiment, EEG signals were recorded, and different linear and non-linear EEG indices were extracted and analyzed to find the effect of the tactile friction on EEG signals.Linear features such as spectral features were not a good choice to distinguish between the states.However, non-linear features such as Lyapunov exponent, Higuchi's dimension, and Hurst exponent had the potential to separate the mentioned states. Results also showed signs of predictability (negative Lyapunov exponent) in the signals recorded during dynamic friction and the existence of long-range dependency (memory) in EEG signals recorded during all states. The complexity of the tactile system in Theta band was also higher than the Delta band.The results of this research not only increase our knowledge about brain non-linear dynamics in response to tactile friction but also lead to a design of a preliminary system that can automatically detect friction between the skin and surfaces.

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“…ERP technique has been applied to investigate the relationship between fiction and tactile perception. ERPs evoked by fingertip friction are affected by the surface texture and friction coefficient, and the response sensibility has a strong relation to the frictional stimulus [ 35 ].…”

Section: Introductionmentioning

confidence: 99%

Effects of Skin Friction on Tactile P300 Brain‐Computer Interface Performance

Mao

Jin

et al. 2021

Computational Intelligence and Neuroscience

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Tactile perception, the primary sensing channel of the tactile brain-computer interface (BCI), is a complicated process. Skin friction plays a vital role in tactile perception. This study aimed to examine the effects of skin friction on tactile P300 BCI performance. Two kinds of oddball paradigms were designed, silk-stim paradigm (SSP) and linen-stim paradigm (LSP), in which silk and linen were wrapped on target vibration motors, respectively. In both paradigms, the disturbance vibrators were wrapped in cotton. The experimental results showed that LSP could induce stronger event-related potentials (ERPs) and achieved a higher classification accuracy and information transfer rate (ITR) compared with SSP. The findings indicate that high skin friction can achieve high performance in tactile BCI. This work provides a novel research direction and constitutes a viable basis for the future tactile P300 BCI, which may benefit patients with visual impairments.

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Experimental research on the tactile perception from fingertip skin friction

Cited by 35 publications

References 59 publications

EEG-Based Neurohaptics Research: A Literature Review

EEG-Based Neurohaptics Research: A Literature Review

Detection of Static, Dynamic, and No Tactile Friction Based on Non-linear dynamics of EEG Signals: A Preliminary Study

Effects of Skin Friction on Tactile P300 Brain‐Computer Interface Performance

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