There are 12 repositories under activity-recognition topic.
A curated list of action recognition and related area resources
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
一些关于机器学习的学习资料与研究介绍
A list of Human-Object Interaction Learning.
Temporal Segments LSTM and Temporal-Inception for Activity Recognition
MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope) (PMC Journal) (IoTDI'19)
Activity Recognition from 2D pose using an LSTM RNN
A tutorial for using deep learning for activity recognition (Pytorch and Tensorflow)
A curated list of egocentric (first-person) vision and related area resources
HAKE: Human Activity Knowledge Engine (CVPR'18/19/20, NeurIPS'20, TPAMI'21)
HAKE-Action in PyTorch
Activity Recognition Algorithms for the Charades Dataset
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.
C3D for Keras + TensorFlow
Video-friendly caffe -- comes with the most recent version of Caffe (as of Jan 2019), a video reader, 3D(ND) pooling layer, and an example training script for C3D network and UCF-101 data
Paper list of activity prediction and related area
Timeception for Complex Action Recognition, CVPR 2019 (Oral Presentation)
Problem Set solutions for the "Introduction to Computer Vision (ud810)" MOOC from Udacity
A one stop shop for all of your activity recognition needs.
As a part of the HAKE project, includes the reproduced SOTA models and the corresponding HAKE-enhanced versions (CVPR2020).
Deep Learning-Based Gait Recognition Using Smartphones in the Wild
React Native wrapper for the Activity Recognition API.
Code for : [Pattern Recognit. Lett. 2021] "Learn to cycle: Time-consistent feature discovery for action recognition" and [IJCNN 2021] "Multi-Temporal Convolutions for Human Action Recognition in Videos".
Personalized machine learning on the smartphone
A PyTorch implementation of R2Plus1D and C3D based on CVPR 2017 paper "A Closer Look at Spatiotemporal Convolutions for Action Recognition" and CVPR 2014 paper "Learning Spatiotemporal Features with 3D Convolutional Networks"
A deep learning-based activity segmentation framework for activity recognition using WiFi Channel State Information (CSI).
Intelligent Driver Monitoring system for Autonomous Vehicles
Developing a virtual personal fitness tracker and exercise activity recognition A.I. using computer vision and deep learning.
A curated list of Group Activity (a.k.a., Collective Activity) recognition papers, codes, datasets and other resources.
DANA: Dimension-Adaptive Neural Architecture (UbiComp'21)( ACM IMWUT)