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Name: SHUBHAM KAUSHIK
Type: User
Name: SHUBHAM KAUSHIK
Type: User
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.
I have made interactive projects using AVR micro-controller. These projects are simulated on PROTEUS Software and all codes are working.
A repository for HacktoberFest 2018.
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).
Most comprehensive list :clipboard: of tech interview questions :blue_book: of companies scraped from Geeksforgeeks, CareerCup and Glassdoor.
MSG91 Plugin for Magento 2.0
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.