Abstract

This is a data visualization art piece using 10 seconds of mind waves recordings of the human, captured with EEG sensor.10 seconds of Alpha, Beta, Gamma & Theta brain waves while meditating are recorded, the different wave channels are categorized to state when the right brain representing artistic brain activity, isolating the ranges for each channel when the brain channels were more meditating and imaginative. Based on the waves of the brain obtained, we will be able to deduce few attributes such as attention span and mood. The moods we will be trying to assess and display here the level of happiness, sadness, anger along with attention span and meditation level (Concentration level).

Highlights

  • In this project we will be aiming to retrieve EEG waves from the brain and obtaining the alpha, beta, gamma

  • We will be employing a MATLAB code to get the attributes required to point out the moods and the attention span of the person

  • NeuroView and MATLAB NeuroView is the software, which allows us to connect the Bluetooth module in the EEG headset to provide us with the various brain waves that can determine the thinking, emotional and other cortexes of the brain

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Summary

INTRODUCTION

In this project we will be aiming to retrieve EEG waves from the brain and obtaining the alpha, beta, gamma. We will be employing a MATLAB code to get the attributes required to point out the moods and the attention span of the person. These attributes are measured and so displayed for therapists and caretakers for monitoring purposes. We will be converting alpha, beta, gamma and delta waves obtained from the brain into readable waves using various algorithms. These graphs are read per second for obtaining the extent of concentration or level of attention. We will even be trying to devise an interactive application which can be used by caretakers and therapists to monitor the person’s or the child’s attention level and concentration level

LITERATURE SURVEY
SYSTEM MODEL -ARCHITECTURE
SYSTEM DESIGN
OUTPUTS AND RESULTS
APPLICATIONS
VIII. CONCLUSION
Smart Irrigation System using IoT published in Asian Journal Of
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