human-activity-recognition

guillaume-chevalier/LSTM-Human-Activity-Recognition

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

smellslikeml/ActionAI

Real-Time Spatio-Temporally Localized Activity Detection by Tracking Body Keypoints

markdregan/K-Nearest-Neighbors-with-Dynamic-Time-Warping

Python implementation of KNN and DTW classification algorithm

aqibsaeed/Human-Activity-Recognition-using-CNN

Convolutional Neural Network for Human Activity Recognition in Tensorflow

emadeldeen24/TS-TCC

[IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"

mmalekzadeh/motion-sense

MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope) (PMC Journal) (IoTDI'19)

guillaume-chevalier/HAR-stacked-residual-bidir-LSTMs

Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 different datasets.

Unity-Technologies/PeopleSansPeople

Unity's privacy-preserving human-centric synthetic data generator

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.

quickpose/quickpose-ios-sdk

Quickly add MediaPipe Pose Estimation and Detection to your iOS app. Enable powerful features in your app powered by the body or hand.

emadeldeen24/AdaTime

[TKDD 2023] AdaTime: A Benchmarking Suite for Domain Adaptation on Time Series Data

dolongbien/HumanBehaviorBKU

Abnormal Human Behaviors Detection/ Road Accident Detection From Surveillance Videos/ Real-World Anomaly Detection in Surveillance Videos/ C3D Feature Extraction

Retsediv/WIFI_CSI_based_HAR

Human Activity Recognition based on WiFi Channel State Information

CV-ZMH/human-action-recognition

Multi Person Skeleton Based Action Recognition and Tracking

OxWearables/ssl-wearables

Self-supervised learning for wearables using the UK-Biobank (>700,000 person-days)

ludlows/CSI-Activity-Recognition

Human Activity Recognition using Channel State Information

arturjordao/WearableSensorData

This repository provides the codes and data used in our paper "Human Activity Recognition Based on Wearable Sensor Data: A Standardization of the State-of-the-Art", where we implement and evaluate several state-of-the-art approaches, ranging from handcrafted-based methods to convolutional neural networks.

ani8897/Human-Activity-Recognition

Classifying the physical activities performed by a user based on accelerometer and gyroscope sensor data collected by a smartphone in the user’s pocket. The activities to be classified are: Standing, Sitting, Stairsup, StairsDown, Walking and Cycling.

AlexanderMelde/SPHAR-Dataset

Surveillance Perspective Human Action Recognition Dataset: 7759 Videos from 14 Action Classes, aggregated from multiple sources, all cropped spatio-temporally and filmed from a surveillance-camera like position.

dipakkr/3d-cnn-action-recognition

Implementation of Action Recognition using 3D Convnet on UCF-101 dataset.

iantangc/ContrastiveLearningHAR

Contrastive Learning (SimCLR) for Human Activity Recognition

xushige/HAR-Dataset-Preprocess

markub3327/HAR-Transformer

Transformer for Human Activity Recognition

tcsvn/activity-assistant

Activity Assistant provides a platform for logging, evaluating and predicting Activities of Daily Living for Home Assistant.

takumiw/Deep-Learning-for-Human-Activity-Recognition

Keras implementation of CNN, DeepConvLSTM, and SDAE and LightGBM for sensor-based Human Activity Recognition (HAR).

TsingZ0/FL-IoT

This is a platform containing the datasets and federated learning algorithms in IoT environments.

Aneapiy/Swift-HAR

Human activity recognition on iOS using Swift, CoreMotion, and NeuralNet.

LiangZai-Embedded/HAR-ON-STM32F401C

使用卷积神经网络在STM32F401C-DISCO上实现人体活动识别

mariusbock/dl-for-har

Official GitHub page of the best-paper award publication "Improving Deep Learning for HAR with shallow LSTMs" presented at the International Symposium on Wearable Computers 21' (ISWC 21')

sair-lab/KCC

Kernel Cross-Correlator (KCC) for Tracking and Recognition (AAAI 2018)

FIGLAB/Vid2Doppler

This is the research repository for Vid2Doppler: Synthesizing Doppler Radar Data from Videos for Training Privacy-Preserving Activity Recognition.

MrinalJain17/Human-Activity-Recognition

Recognizing human activities using Deep Learning

servomac/Human-Activity-Recognition

Use a LSTM network to predict human activities from sensor signals collected from a smartphone

tahmidzbr/Human-Activities-Gestures-Recognition-using-Channel-State-Information-CSI-of-IEEE-802.11n

This is a data-set for Human Activities & Gestures Recognition (HAGR) using the Channel State information (CSI) of IEEE 802.11n devices

saif-mahmud/self-attention-HAR

[ECAI 2020] Tensorflow 2.x Implementation of "Human Activity Recognition from Wearable Sensor Data Using Self-Attention"