EEG-Based Neurohaptics Research: A Literature Review

Haneen Alsuradi,Wanjoo Park,Mohamad Eid

doi:10.1109/access.2020.2979855

Abstract

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.

Highlights

Haptic sensation is the first sense to develop in a human fetus, The associate editor coordinating the review of this manuscript and approving it for publication was Jenny Mahoney
The article was prefaced by a proper definition of the term, ‘‘neurohaptics’’
We performed a holistic survey of the neurohaptics literature and proposed five main fields of interest to the neurohaptics community

Summary

INTRODUCTION

In a neurohaptic study by Adhikari et al, which aims to identify oscillatory networks during a tactile discrimination task, a parametric Granger causality method was used on single trial EEG-source signals to evaluate patterns of causality in beta and gamma bands. A couple of neurohaptics studies were implemented based on graph theory methods to assess functional connectivity between different brain cortical parts using the acquired EEG signals [74]. Genna in which varied coarseness levels of surfaces passively applied to the fingertips of the subjects, contralateral alpha power is found to be inversely proportional to the roughness of the stimulus [106] This result is confirmed by the study conducted by Zhang et al which aimed to explore the neural response to active tactile investigation of different fabric qualities with varying softness [107].

CASE STUDY

CONCLUSION

Findings

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