This project classifies different human activities into their respective actions using the `LibSVM` library.
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Updated
May 15, 2019 - Perl
This project classifies different human activities into their respective actions using the `LibSVM` library.
Gaussian Latent Dirichlet Allocation
The FMCW radar-based food intake monitoring-oriented dataset contains 70 meal sessions (4132 eating gestures and 893 drinking gestures) from 70 participants with a total duration of 1155 minutes. Four eating styles (fork & knife, chopsticks, spoon, hand) are included in this dataset.
ROS/ROS2 -- Navigation, Manipulation, Mimicking, Sensor Fusion, VR, Speech Recogition, Activity Recognition, Computer Vision
Official GitHub page of the arXiv publication "WEAR: An Outdoor Sports Dataset for Wearable and Egocentric Activity Recognition"
Wearable Sensor based Human Activity Recognition with Recurrent Neural Networks.
Using random forest to recognize human activity.
Human Activity Recognition from Accelerometer Data
A Computer Vision Framework to run CV models and tasks.
The Human Activity Recognition database was built from the recordings of 30 study participants performing activities of daily living (ADL) while carrying a waist-mounted smartphone with embedded inertial sensors. The objective is to classify activities into one of the six activities performed.
A set of out-of-the-box dimensionality reduction techniques conducted on the HAR dataset, utilizing Python
Searching Efficient Models for Human Activity Recognition
Multi-view balance related body landmark (joints) dataset with synchronized center of pressure (CoP)
Human Activity Recognition Example Model Zoo
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
Human Pose Tracking-Skeleton Generation
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