Code Related to the Roman paper: "Automatic detection of human interactions from RGB-D data for social activity classification"

Human Activity Recognition from videos (video classification task).

Comparison of classifiers on Human Activity Recognition

Activity recognition by phone IMU with Java implemented

An Android Activity Recognition app, able to catch action as run, walking, standing, sweeping, vacooming etc.. Read the wiki for other info

Fitness tracker che sfrutta sensori inerziali

An audio classifier built on audio features extracted from videos(SisFall dataset) using SVM

Physical activity recognition with deep learning models.

🏃2023 spring Mobile Health and Activity Monitoring

Human Activity Classification Using IMU Datas

Wearable Sensor based Human Activity Recognition with Recurrent Neural Networks.

A Computer Vision Framework to run CV models and tasks.

Activity recognition project. [running, walking, down/up stairs, idle]

activity_recognition_flutter 4.0.3 location 4.3.0 latlong 0.6.1

Detecting user activity from smartphone data collected from accelerometer and gyroscope sensors

High definition (HD) video cameras have been used to record daily activities at construction jobsites into videos. These videos contain rich workforce and equipment information for site engineers and project managers to analyze construction productivity, monitor construction progress, inspect jobsite safety, etc.

Assignment of latent variables vs. accuracy of LDCRFs.

Activity of daily living

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.