Code corresponding to R package GGIR
-
Updated
Jun 1, 2024 - R
Code corresponding to R package GGIR
A curated list of egocentric (first-person) vision and related area resources
A list of Human-Object Interaction Learning.
Inference engine for EgoViz: A web-based clinical decision support system for monitoring hand function at-home.
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.
OpenPack Dataset: a new large-scale multi modal dataset of manual packaging process.
An up-to-date & curated list of Awesome IMU-based Human Activity Recognition(Ubiquitous Computing) papers, methods & resources. Please note that most of the collections of researches are mainly based on IMU data.
Gaze-enabled Augmented Reality
This project is to build a model that *predicts the human activities* such as __Walking, Walking_Upstairs, Walking_Downstairs, Sitting, Standing__ and __Laying__ as done in Smart-Watches.
[NeurIPS 2019] Why Can't I Dance in the Mall? Learning to Mitigate Scene Bias in Action Recognition
"Embark on a cutting-edge journey in Human Activity Recognition using a fusion of Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) networks. This project includes model training, metric visualization, and action prediction in videos. Experience seamless interaction with a Streamlit-powered user-friendly version (at the bottom)
Android app to measure sensors
ROS/ROS2 -- Navigation, Manipulation, Mimicking, Sensor Fusion, VR, Speech Recogition, Activity Recognition, Computer Vision
Code for the ECCV'22 paper "Geometric Features Informed Multi-person Human-object Interaction Recognition in Videos".
PyTorch utilities to work around with OpenPack Dataset.
Project on Human activity Recognition
Deep Learning-Based Gait Recognition Using Smartphones in the Wild
Add a description, image, and links to the activity-recognition topic page so that developers can more easily learn about it.
To associate your repository with the activity-recognition topic, visit your repo's landing page and select "manage topics."