In this project, we try to track the physical activities of people through sensors from smartphones placed in different positions of the body.
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Updated
Sep 22, 2022 - Python
In this project, we try to track the physical activities of people through sensors from smartphones placed in different positions of the body.
Human Activity Detection with TensorFlow and Python.
Human Activity Recognition using UCF50 dataset and LSTM model
Lo scopo dell'applicazione è quello di costruire un feature vector per la predizione dei pasti in base a valori registrati da sensori di qualità dell'aria. Le feature prodotte verranno automaticamente unite a feature statistiche già presenti in alcuni files. Per la classificazione utilizzare il Knowledge Flow Enviroment di Weka impostato nel fi…
This project represents the implementation of the Spatio-Temporal Image Encoding used in the paper "Human Activity Recognition: A Spatio-temporal Image Encoding of 3D Skeleton Data for Online Action Detection" published in the "International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications(VISAPP) 2022".
TCN Neural Network architecture in the automatic detection of people drawing ellipses at multiple timescales
This project represents the implementation of the Enhanced Spatio-Temporal Image Encoding used in the paper "Enhanced Spatio- Temporal Image Encoding for Online Human Activity Recognition" published in the "International Conference on Machine Learning and Applications (ICMLA) 2023".
A machine learning project to predict human activities in an android environment
RDC Internships Aug. 2020
A computer vision application for chess game activity recognition. Using YOLOv3 and Mediapipe the Grand Master Chess Demo was designed and implemented to capture and track in real time a chess game using camera input.
Official analysis submodule of the workshop paper publication "Increasing Replicability, Comparability and Collaboration in HAR Through a Common Code Base" presented at the 2022 IEEE International Conference on Pervasive Computing and Communications Work (PerCom 22') in Progress Session (WiP).
The goal of the project was to, firstly, validate and train models on Kinetics700 and UCF101. Then, we conducted a comparative study of the two models on our own videos, and fine-tuned it to adapt it. Finally, we shown the efficiency of the fatorized convolution
Human Activity Recognition using mobile sensors
A test project to explore smartwatch data simulation and human activity recognition
A research project that addresses the recognition of activities and the gender of the performer using MoVi and MotionSense datasets
A System for alerting and sending message to the caretaker if a human fall is detected. This system works with LSTM model.
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 )
Image Processing algorithm to detect real time human motion using marker bands
A Computer Vision Framework to run CV models and tasks.
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