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Analyzing text recognition from tactually evoked EEG.

A Khasnobish¹, S Datta¹, R Bose²

¹TCS Innovation Labs, New Town, Kolkata, 700156 India.

Cognitive Neurodynamics

|November 18, 2017

Summary

This summary is machine-generated.

Researchers analyzed electroencephalogram (EEG) signals during tactile exploration to recognize embossed texts. This brain-computer interface (BCI) approach shows potential for aiding visually impaired individuals.

Keywords:

Brain-computer interface Electroencephalography Rehabilitation Tactile perception Text recognition

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Area of Science:

Neuroscience
Biomedical Engineering
Human-Computer Interaction

Background:

Object recognition can be achieved by analyzing brain signals generated during tactile exploration.
Electroencephalogram (EEG) signals reflect neural activity patterns associated with sensory input.

Purpose of the Study:

To analyze EEG signals in real-time for the recognition of embossed texts through tactile exploration.
To develop a brain-computer interface (BCI) system for tactile text recognition.

Main Methods:

EEG signals were recorded from the somatosensory cortex of blindfolded subjects exploring embossed texts (symbols, numbers, alphabets).
Supervised learning classifiers were trained using extracted EEG features: adaptive autoregressive parameters, Hurst exponents, and power spectral density.
Online classification of EEG data was performed to identify the explored texts.

Main Results:

Average recognition rates for two, four, and six classes of embossed texts were 76.62%, 72.31%, and 67.62%, respectively.
Classification was achieved in under 2 seconds per instance.
Maximum information transfer rate and utility reached 0.7187 bits/s and 2.0529 bits/s, respectively.

Conclusions:

This study demonstrates the feasibility of classifying 3D letters using tactually evoked EEG signals.
The findings support the development of tactile augmentation strategies for BCIs and offer new research avenues for visually impaired individuals.
Potential future applications include generating 3D maps for tactile BCIs in teleoperation.