A Computer Vision Framework to run CV models and tasks.

Assignment of latent variables vs. accuracy of LDCRFs.

For HAR, our novel HDAD (IGAV) dataset was constructed by performing 4 dynamic and 3 static activities with the accelerometer and gyroscope sensors of the IOS smart phone in two different positions for a total of 15 seconds. Mentioned activities were collected in real time by placing them on the waist of a total of 10 volunteers.

Pandemic Watch System Server API'S

Specification and evaluation of activities in the ActEV context

Human Activity Recognition based on Summarized Semi-detailed Frame Information and Contextual Features

Continuous activity recognition metrics based on (Ward et al, 2011)

Spatial Temporal Graph Convolutional Networks (ST-GCN) for the recognition of quick human actions. Quick actions are derived by downsampling the NTU-RGB+D dataset.

Keras implementation of Human Action Recognition for the data set State Farm Distracted Driver Detection (Kaggle)

Everyday Life Human Activity Recognition Problem solved with SVMs. Erasmus internship work in Polytechnic University of Valencia.

Official implementation of "An Action Is Worth Multiple Words: Handling Ambiguity in Action Recognition", BMVC 2022

humanActivityDetection2D: Implementation of 2D detector of human actions through DNN with OpenCV. Video source reception via YARP, processed video source emission and results, through YARP ports. Implementation of 2D detector of human actions through DNN with OpenCV. Video source reception via YARP, processed video source emission and results, t…

Human Activity Recogition GUI

Tensorflow/Keras Implementation of a DeepConvLSTM for Human Activity Recognition

Tool for annotating time series data from sources such as MoCap, Videos and more.

Feature Extractor for an Activity Context Recognition project.