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florentp72's Projects

biometricecg icon biometricecg

An ECG based biometric model for specialised authentication systems

deepecg-1 icon deepecg-1

Exploring whether ECG can be used for biometric authentication using Convolutional Neural Networks.

ecg-based-biometrics-identification icon ecg-based-biometrics-identification

Biometrics is needed where security is essential. Biomedical signal processing aims at extracting significant information from biomedical signals the Electrocardiogram (ECG) has been used as a significant diagnostic tool for decades. The Physiological and Geometrical differences of the heart among individuals reveal certain uniqueness in their ECG signals In this project, we need to distinguish between three individuals using their ECG signals using SIGNAL PROCESSING METHOD as applying some Pre-Processing in signal such as REMOVING NOIS (Main Removal, Filtering, Normalization), EXTRACT Feature applying Auto-Correlation, DCT(Discrete Cosine Transform) THEN CLASSIFICATION using Machine-Learning technique SVM(Support Vector Machine) and KNN(K-Nearest Neighbors) Classifier to Classify and Recognition the signal of the Three Individual

ecg-classifier icon ecg-classifier

The electrocardiogram signal basically corresponds to the electrical activity of the heart.

ecg_qc icon ecg_qc

A library to compute ECG signal quality indicators

emopy icon emopy

A deep neural net toolkit for emotion analysis via Facial Expression Recognition (FER)

emotion icon emotion

:smile: Recognizes human faces and their corresponding emotions from a video or webcam feed. Powered by OpenCV and Deep Learning.

face_classification icon face_classification

Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV.

globalmousekeyhook icon globalmousekeyhook

This library allows you to tap keyboard and mouse, detect and record their activity even when an application is inactive and runs in background.

mememoji icon mememoji

A facial expression classification system that recognizes 6 basic emotions: happy, sad, surprise, fear, anger and neutral.

research icon research

Insider Threat Detection Based on Stress Recognition Using Keystroke

rnn-ppg-har icon rnn-ppg-har

RNN for Human Activity Recognition in Embedded Systems using PPG and Accelerometer

selfspy icon selfspy

Log everything you do on the computer, for statistics, future reference and all-around fun!

sneakysnek icon sneakysnek

Dead simple cross-platform keyboard & mouse global input capture solution for Python 3.6+

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