haoranD/Awesome-Human-Activity-Recognition
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.
This resource helps researchers, engineers, and scientists working with data from wearable sensors (like accelerometers and gyroscopes) to understand human activities. It provides a curated list of academic papers, methods, and datasets, primarily focused on Inertial Measurement Unit (IMU) data. If you're analyzing sensor data to recognize activities like walking, running, or falling, this collection gives you a starting point for current research and available data.
331 stars. No commits in the last 6 months.
Use this if you are researching or developing systems for human activity recognition using sensor data, and you need to find relevant academic papers, methods, or public datasets.
Not ideal if you are looking for ready-to-use software, code libraries for implementation, or resources primarily focused on video-based activity recognition.
Stars
331
Forks
47
Language
—
License
MIT
Category
Last pushed
Nov 29, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/haoranD/Awesome-Human-Activity-Recognition"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
OxWearables/stepcount
Improved Step Counting via Foundation Models for Wrist-Worn Accelerometers
OxWearables/actinet
An activity classification model based on self-supervised learning for wrist-worn accelerometer data.
guillaume-chevalier/LSTM-Human-Activity-Recognition
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM...
felixchenfy/Realtime-Action-Recognition
Apply ML to the skeletons from OpenPose; 9 actions; multiple people. (WARNING: I'm sorry that...
aqibsaeed/Human-Activity-Recognition-using-CNN
Convolutional Neural Network for Human Activity Recognition in Tensorflow