Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
Convolutional Neural Network for Human Activity Recognition in Tensorflow
Temporal Segments LSTM and Temporal-Inception for Activity Recognition
Code for IEEE Communication Magazine (A Survey on Behaviour Recognition Using WiFi Channle State Information)
This project aims to classify human activities using data obtained from accelerometer and gyroscope sensors from phone and watch.
A tutorial for using deep learning for activity recognition (Pytorch and Tensorflow)
Resources about activity recognition-行为识别资料
PyTorch implemented C3D, R3D, R2Plus1D models for video activity recognition.
A Fundamental End-to-End Speech Recognition Toolkit and Open Source SOTA Pretrained Models, Supporting Speech Recognition, Voice Activity Detection, Text Post-processing etc.
React Native wrapper for the Activity Recognition API.
WiFi-based activity recognition dataset
MATLAB Human Activity Recognition Toolbox
Human Activity Recognition using Channel State Information
Activity Recognition in Videos using UCF101 dataset
Activity recognition using Spark, Cassandra and MLlib
Activity Recognition from 2D pose using an LSTM RNN
Spatial Temporal Transformer Network for Skeleton-Based Activity Recognition
Human Activity Recognition Using Convolutional Neural Network in Keras
🚀 手机加速度传感器数据进行人体行为识别
Human Activity Recognition based on WiFi Channel State Information
A web-app that can recognize predefined human poses and actions with Kinect
A deep learning-based activity segmentation framework for activity recognition using WiFi Channel State Information (CSI).
Deep learning framework for wearable activity recognition based on convolutional and LSTM recurretn layers
Implementation of Contrastive Self-Supervised Learning for Sensor-based Human Activity Recognition