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analysis-and-simulation-of-brain-signal-data-by-eeg-signal-processing-technique-using-matlab

Emotion recognition by computers is becoming increasingly popular. Our 1st study is focused on recognizing emotion from human brain activity, measured by EEG signals using Emotive. We have proposed a system to analyze EEG signals and classify them into 2 classes (positive and negative emotion). This system was designed using prior knowledge from other research, and is meant to assess the quality of emotion recognition using EEG signals in practice. In order to perform this assessment, we have gathered a raw EEG data recording of 5 subjects in order to classify emotions .The 2nd study of this project focused on recognizing emotion from human brain activity, measured by EEG signals using BIOPAC. This was done by measuring EEG signals from people that were emotionally stimulated by meditation. The Conventional methods employ the analysis of EEG data that includes ICA i.e. Independent Component Analysis for pre processing of data which is removal of artifacts and extracting features like Energy, Power.

apache_kafka_python_implementation

authorization-microservice-django

avr-microcontroller-projects

I have made interactive projects using AVR micro-controller. These projects are simulated on PROTEUS Software and all codes are working.

contact_web_api

dipusing-opencv

django-hello-world_1

django-login-app

django-movie-rater-api

food_app_django

food_app_react

hacktoberfest2018

A repository for HacktoberFest 2018.

hailelectra

hello_world_django_app

hiding-text-by-cryptography-and-image-steganography-using-matlab

Today, in this new era of internet, Information Security is becoming a biggest challenge for the world due to the rapid growth of internet users day by day. Unauthorized access to secret data can have serious repercussions like financial loss etc. One of the best techniques for secure communication is Steganography-or covert writing. It is an art of hiding the very existence of communicated message itself. In this report, we present a hiding technique which can encrypt and decrypt message using cryptography and image steganography technique. The main objective of this project is to encrypt text message into image without much affecting the pixel values of original image. Every image is made up of three basic colors i.e, Red, Green and Blue. We can hide our text message into these colors. Performance of proposed steganography technique has been evaluated by calculating values of MSE (Mean square error), PSNR(Peak signal to noise ratio) and SNR(Signal to noise ratio).

interview-questions

Most comprehensive list :clipboard: of tech interview questions :blue_book: of companies scraped from Geeksforgeeks, CareerCup and Glassdoor.

ionic_test_app

logistic-trackapp

magento2_module

movie-rater-app-react-project

msg91-magento2

MSG91 Plugin for Magento 2.0

react-first-app

react-user-activity

snake_game_using_opencv

stackoverflow-project-django