Official GitHub page of the arXiv publication "WEAR: An Outdoor Sports Dataset for Wearable and Egocentric Activity Recognition"
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Updated
May 24, 2024 - Python
Official GitHub page of the arXiv publication "WEAR: An Outdoor Sports Dataset for Wearable and Egocentric Activity Recognition"
A Computer Vision Framework to run CV models and tasks.
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.
[COMCOM 2022] GLMLP-TRANS: A transportation mode detection model using lightweight sensors integrated in smartphones
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…
Learning to learn for Personalised Human Activity Recognition
This python opencv code is used to segment the human object from the video frame
TCN Neural Network architecture in the automatic detection of people drawing ellipses at multiple timescales
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".
Human Activity Recognition on the Wireless Sensor Data Mining (WISDM) dataset using Bidirectional LSTM Recurrent Neural Networks
Human Activity Recognition using Convolutional Neural Network
An activity classification model based on self-supervised learning for wrist-worn accelerometer data.
Human Activity Recognition using UCF50 dataset and LSTM model
A machine learning project to predict human activities in an android environment
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".
[ECCV 2024]Temporary code for "Ad-HGformer: An Adaptive HyperGraph Transformer for Skeletal Action Recognition"
Implementation of CNN-Based Model for Online Action Recognition
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