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Classifying the physical activities performed by a user based on accelerometer and gyroscope sensor data collected by a smartphone in the user’s pocket. The activities to be classified are: Standing, Sitting, Stairsup, StairsDown, Walking and Cycling.
Travail réalisé dans le cadre du cours de Statistique descriptive et DW, au sein de la Faculté de sciences de Kénitra(Master Big Data et Cloud Computing )
Action Recognition 🇩🇪 Erkennung menschlicher Handlungen durch Auswertung der Körperhaltungen von Personen in einem Video mithilfe von Machine Learning und neuronalen Netzen im Rahmen einer Bachelorarbeit.
A skeleton-based real-time online action recognition project, classifying and recognizing base on framewise joints, which can be used for safety surveilence.
This repository provides the codes and data used in our paper "Human Activity Recognition Based on Wearable Sensor Data: A Standardization of the State-of-the-Art", where we implement and evaluate several state-of-the-art approaches, ranging from handcrafted-based methods to convolutional neural networks.