Topic: "human-activity-recognition"
PaddlePaddle/PaddleDetection
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
Language: Python - Size: 413 MB - Last synced at: 6 days ago - Pushed at: 3 months ago - Stars: 13,720 - Forks: 2,987

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
Language: Jupyter Notebook - Size: 1.38 MB - Last synced at: 3 months ago - Pushed at: almost 3 years ago - Stars: 3,401 - Forks: 939

markdregan/K-Nearest-Neighbors-with-Dynamic-Time-Warping
Python implementation of KNN and DTW classification algorithm
Language: Jupyter Notebook - Size: 59.5 MB - Last synced at: 4 days ago - Pushed at: almost 7 years ago - Stars: 786 - Forks: 214

smellslikeml/ActionAI
Real-Time Spatio-Temporally Localized Activity Detection by Tracking Body Keypoints
Language: Python - Size: 200 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 697 - Forks: 186

aqibsaeed/Human-Activity-Recognition-using-CNN
Convolutional Neural Network for Human Activity Recognition in Tensorflow
Language: Jupyter Notebook - Size: 36.1 MB - Last synced at: 3 months ago - Pushed at: almost 3 years ago - Stars: 479 - Forks: 221

emadeldeen24/TS-TCC
[IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"
Language: Python - Size: 2.83 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 446 - Forks: 110

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.
Language: Python - Size: 521 KB - Last synced at: 3 months ago - Pushed at: almost 3 years ago - Stars: 318 - Forks: 99

Unity-Technologies/PeopleSansPeople
Unity's privacy-preserving human-centric synthetic data generator
Language: C# - Size: 446 MB - Last synced at: about 2 hours ago - Pushed at: over 1 year ago - Stars: 314 - Forks: 35

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)
Language: Jupyter Notebook - Size: 197 MB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 292 - Forks: 95

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.
Language: Swift - Size: 399 MB - Last synced at: 4 days ago - Pushed at: about 1 month ago - Stars: 282 - Forks: 14

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.
Size: 622 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 190 - Forks: 27

dolongbien/HumanBehaviorBKU
Abnormal Human Behaviors Detection/ Road Accident Detection From Surveillance Videos/ Real-World Anomaly Detection in Surveillance Videos/ C3D Feature Extraction
Language: Jupyter Notebook - Size: 645 MB - Last synced at: 4 months ago - Pushed at: over 2 years ago - Stars: 163 - Forks: 58

emadeldeen24/AdaTime
[TKDD 2023] AdaTime: A Benchmarking Suite for Domain Adaptation on Time Series Data
Language: Python - Size: 106 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 128 - Forks: 14

OxWearables/ssl-wearables
Self-supervised learning for wearables using the UK-Biobank (>700,000 person-days)
Language: Jupyter Notebook - Size: 102 MB - Last synced at: 3 months ago - Pushed at: 11 months ago - Stars: 127 - Forks: 31

Retsediv/WIFI_CSI_based_HAR
Human Activity Recognition based on WiFi Channel State Information
Language: Jupyter Notebook - Size: 11.1 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 102 - Forks: 20

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.
Language: Python - Size: 5.47 GB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 95 - Forks: 18

ludlows/CSI-Activity-Recognition
Human Activity Recognition using Channel State Information
Language: Python - Size: 32.2 KB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 91 - Forks: 26

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.
Language: Python - Size: 155 MB - Last synced at: almost 2 years ago - Pushed at: almost 6 years ago - Stars: 84 - Forks: 26

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.
Language: Python - Size: 1.59 MB - Last synced at: over 2 years ago - Pushed at: about 8 years ago - Stars: 84 - Forks: 40

CV-ZMH/human-action-recognition
Multi Person Skeleton Based Action Recognition and Tracking
Language: Python - Size: 226 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 80 - Forks: 19

rh20624/Awesome-IMU-Sensing
A collection of datasets, papers, and resources for Generalizable Human Activity Recognition and IMU sensing.
Size: 249 KB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 77 - Forks: 5

dipakkr/3d-cnn-action-recognition
Implementation of Action Recognition using 3D Convnet on UCF-101 dataset.
Language: Python - Size: 9.56 MB - Last synced at: over 2 years ago - Pushed at: about 7 years ago - Stars: 69 - Forks: 34

tcsvn/activity-assistant
Activity Assistant provides a platform for logging, evaluating and predicting Activities of Daily Living for Home Assistant.
Language: JavaScript - Size: 23.7 MB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 65 - Forks: 4

TsingZ0/FL-IoT
This is a platform containing the datasets and federated learning algorithms in IoT environments.
Language: Python - Size: 43.9 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 57 - Forks: 8

markub3327/HAR-Transformer
Transformer for Human Activity Recognition
Language: Jupyter Notebook - Size: 19.6 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 55 - Forks: 12

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')
Language: Jupyter Notebook - Size: 33.2 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 51 - Forks: 30

Event-AHU/HARDVS
[AAAI-2024] HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors
Language: Python - Size: 10.6 MB - Last synced at: about 8 hours ago - Pushed at: 5 months ago - Stars: 50 - Forks: 4

sair-lab/KCC
Kernel Cross-Correlator (KCC) for Tracking and Recognition (AAAI 2018)
Language: Matlab - Size: 1.71 MB - Last synced at: 2 months ago - Pushed at: over 4 years ago - Stars: 49 - Forks: 16

takumiw/Deep-Learning-for-Human-Activity-Recognition
Keras implementation of CNN, DeepConvLSTM, and SDAE and LightGBM for sensor-based Human Activity Recognition (HAR).
Language: Jupyter Notebook - Size: 3.63 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 48 - Forks: 13

DigitalBiomarkerDiscoveryPipeline/Human-Activity-Recognition Fork of aascode/Human-Activity-Recognition
Multimodal human activity recognition using wrist-worn wearable sensors.
Language: Jupyter Notebook - Size: 93.6 MB - Last synced at: 30 days ago - Pushed at: about 5 years ago - Stars: 48 - Forks: 5

iantangc/ContrastiveLearningHAR
Contrastive Learning (SimCLR) for Human Activity Recognition
Language: Jupyter Notebook - Size: 2.19 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 45 - Forks: 13

MrinalJain17/Human-Activity-Recognition 📦
Recognizing human activities using Deep Learning
Language: Jupyter Notebook - Size: 7.23 MB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 44 - Forks: 31

LukasHedegaard/co3d
Official source code for "Continual 3D Convolutional Neural Networks for Real-time Processing of Videos" [ECCV2022]
Language: Python - Size: 105 MB - Last synced at: 4 months ago - Pushed at: over 2 years ago - Stars: 43 - Forks: 7

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
Language: MATLAB - Size: 11.7 KB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 43 - Forks: 14

servomac/Human-Activity-Recognition
Use a LSTM network to predict human activities from sensor signals collected from a smartphone
Language: Python - Size: 18.6 KB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 42 - Forks: 25

cynicphoenix/Human-Action-Recognition
Computer Vision Project : Action Recognition on UCF101 Dataset
Language: Jupyter Notebook - Size: 935 KB - Last synced at: 7 months ago - Pushed at: over 5 years ago - Stars: 38 - Forks: 12

xcyan/eccv18_mtvae
Tensorflow Implementation of ECCV'18 paper: Multimodal Human Motion Synthesis
Language: Python - Size: 77.1 KB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 37 - Forks: 9

Unity-Technologies/AnthroNet
Unity's Privacy-Preserving Novel Human Body Model Trained Solely on Synthetic Data and Corresponding Dense Anthropometric Measurements
Language: Rich Text Format - Size: 158 MB - Last synced at: about 5 hours ago - Pushed at: almost 2 years ago - Stars: 36 - Forks: 1

ni79ls/har-keras-coreml
Jupyter Notebook for Human Activity Recognition (HAR) with Keras and CoreML
Language: Jupyter Notebook - Size: 907 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 36 - Forks: 19

mmalekzadeh/dana
DANA: Dimension-Adaptive Neural Architecture (UbiComp'21)( ACM IMWUT)
Language: Jupyter Notebook - Size: 34.7 MB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 35 - Forks: 9

FIGLAB/Vid2Doppler
This is the research repository for Vid2Doppler: Synthesizing Doppler Radar Data from Videos for Training Privacy-Preserving Activity Recognition.
Language: Python - Size: 43.7 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 34 - Forks: 16

bartkowiaktomasz/har-wisdm-lstm-rnns
Human Activity Recognition on the Wireless Sensor Data Mining (WISDM) dataset using LSTM Recurrent Neural Networks
Language: Python - Size: 11.7 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 31 - Forks: 11

Hyun-Ryu/simpsi
Official code for "SimPSI: A Simple Strategy to Preserve Spectral Information in Time Series Data Augmentation", AAAI 2024.
Language: Python - Size: 188 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 30 - Forks: 7

saif-mahmud/self-attention-HAR
[ECAI 2020] Tensorflow 2.x Implementation of "Human Activity Recognition from Wearable Sensor Data Using Self-Attention"
Language: Python - Size: 23.2 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 30 - Forks: 6

ItsSiddharth/Human_Activity_Recognition
A new and computationally cheap method to perform human activity recognition using PoseNet and LSTM. Where we use PoseNet for Preprocessing and LSTM for understand the sequence.
Language: Jupyter Notebook - Size: 92.5 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 30 - Forks: 7

xushige/HAR-Dataset-Preprocess
Language: Python - Size: 53.7 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 28 - Forks: 8

drewanye/har-joint-model
AROMA: A Deep Multi-Task Learning Based Simple and Complex Human Activity Recognition Method Using Wearable Sensors
Language: Python - Size: 429 KB - Last synced at: 8 months ago - Pushed at: over 7 years ago - Stars: 28 - Forks: 9

danielelic/deep-casas
Deep learning and LSTM approaches for human activity recognition
Language: Python - Size: 34.4 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 27 - Forks: 13

reallongnguyen/Optical-Flow-Guided-Feature
Code for paper: Optical Flow Guided Feature: A Fast and Robust Motion Representation for Video Action Recognition
Language: Python - Size: 15.9 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 26 - Forks: 10

RubixML/HAR
Recognize one of six human activities such as standing, sitting, and walking using a Softmax Classifier trained on mobile phone sensor data.
Language: PHP - Size: 23.9 MB - Last synced at: 6 days ago - Pushed at: about 1 month ago - Stars: 25 - Forks: 7

iantangc/SelfHAR
Improving Human Activity Recognition through Self-training with Unlabeled Data
Language: Python - Size: 5.9 MB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 25 - Forks: 11

SamanKhamesian/Time-Series-Classification-for-Human-Activity-Recognition
An implementation of the CNN-LSTM model for Classifying Time Series Human Activities
Language: Python - Size: 14.6 KB - Last synced at: 5 months ago - Pushed at: almost 5 years ago - Stars: 23 - Forks: 5

zzpustc/ML-Application-on-Network
Offering recent HAR papers collection
Size: 276 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 22 - Forks: 6

nesl/Robust-Deep-Learning-Pipeline
Deep Convolutional Bidirectional LSTM for Complex Activity Recognition with Missing Data. Human Activity Recognition Challenge. Springer SIST (2020)
Language: Jupyter Notebook - Size: 876 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 22 - Forks: 3

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
Language: C - Size: 33.1 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 21 - Forks: 4

Aminullah6264/Activity_Rec_ML-LSTM
Activity Recognition using Temporal Optical Flow Convolutional Features and Multi-Layer LSTM
Language: C++ - Size: 53.9 MB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 21 - Forks: 16

tam-ng/Human_Activity_Recognition
Performed various Deep Learning techniques to detect Human Activity using Sequential Data detect human activities generated by sensor-based wearable devices
Language: Jupyter Notebook - Size: 25.4 MB - Last synced at: 5 days ago - Pushed at: over 5 years ago - Stars: 21 - Forks: 5

csarron/MobiRnn
Efficient LSTM parallelization on smartphone GPU
Language: Java - Size: 83.2 MB - Last synced at: over 2 years ago - Pushed at: about 8 years ago - Stars: 21 - Forks: 7

nesl/auritus
Auritus: An Open-Source Optimization Toolkit for Training and Development of Human Movement Models and Filters Using Earables
Language: C++ - Size: 139 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 20 - Forks: 0

csarron/lstm_har
LSTM based human activity recognition using smart phone sensor dataset
Language: Jupyter Notebook - Size: 138 MB - Last synced at: over 2 years ago - Pushed at: about 8 years ago - Stars: 20 - Forks: 10

FlyingFathead/dvr-yolov8-detection
Python+YOLOv8-based human/animal/object detection DVR framework with GUI, webUI and Telegram alerts
Language: Python - Size: 591 KB - Last synced at: 4 days ago - Pushed at: about 1 month ago - Stars: 19 - Forks: 4

mariusbock/wear
Official GitHub page of the journal publication "WEAR: An Outdoor Sports Dataset for Wearable and Egocentric Activity Recognition" published in IMWUT (Issue 4, Vol. 8, Article 175 November 2024).
Language: Python - Size: 96.8 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 18 - Forks: 2

lcsig/Dataset-for-Wi-Fi-based-human-activity-recognition-in-LOS-and-NLOS-indoor-environments
Baha’ A. Alsaify, Mahmoud M. Almazari, Rami Alazrai, Mohammad I. Daoud, A dataset for Wi-Fi-based human activity recognition in line-of-sight and non-line-of-sight indoor environments, Data in Brief, Volume 33, 2020, 106534, ISSN 2352-3409, https://doi.org/10.1016/j.dib.2020.106534.
Language: MATLAB - Size: 4.56 GB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 17 - Forks: 3

s-ankur/human-activity-dih18
Human Activity Recognition Using Deep Neural Network
Language: Python - Size: 252 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 17 - Forks: 8

MichiganNLP/vlog_action_reason
Identifying reasons for human actions in lifestyle vlogs.
Language: Python - Size: 86.8 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 17 - Forks: 2

chinmayembedded/Human-Activity-Recognition
Real time human activity recognition using tensorflow openpose and LSTM
Language: PureBasic - Size: 76.2 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 16 - Forks: 6

youpengl/FedCHAR
[UbiComp/IMWUT '23] Hierarchical Clustering-based Personalized Federated Learning for Robust and Fair Human Activity Recognition
Language: Python - Size: 9.37 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 16 - Forks: 4

SmitSheth/Human-Activity-Recognition
Deep learning model that predicts human action in a given video feed using pose estimation
Language: Jupyter Notebook - Size: 54.7 KB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 16 - Forks: 3

caglarmert/MOT-Research
Human Activity Recognition Research Repository
Language: Python - Size: 25.9 MB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 15 - Forks: 3

AdelaideAuto-IDLab/Attend-And-Discriminate
Attend and Discriminate: Beyond the State-of-the-Art for Human Activity Recognition Using Wearable Sensors
Language: Python - Size: 16.6 KB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 15 - Forks: 3

Computational-Imaging-Lab-IITM/HAR-DVS
This project is a part of our work, "Dynamic Vision Sensors for Human Activity Recognition" accepted at the IEEE 4th IAPR Asian Conference on Pattern Recognition (ACPR), 2017
Language: C++ - Size: 44.7 MB - Last synced at: 8 months ago - Pushed at: over 6 years ago - Stars: 15 - Forks: 4

bulatkh/csshar_tfa
Implementation of Contrastive Self-Supervised Learning for Sensor-based Human Activity Recognition
Language: Python - Size: 515 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 14 - Forks: 2

TaesikGong/MetaSense_public
The official PyTorch Implementation of MetaSense (MetaSense: Few-Shot Adaptation to Untrained Conditions in Deep Mobile Sensing, ACM SenSys '19).
Language: Python - Size: 65.4 KB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 14 - Forks: 5

nrjparajuli/FitnesssMonitor
Fitness Monitor is an Android application that users can use to track their daily activities like walking, jogging, sitting, standing, walking upstairs and walking downstairs. The application uses a Convolutional Neural Network (CNN) to predict user activity automatically and stores the information in a database stored on the phone. The users can then choose to visualize the statistics.
Language: Java - Size: 4.5 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 14 - Forks: 12

winwinashwin/CSI-Sense-Zero
Realtime Wi-Fi CSI based Human Activity Recognition on a Raspberry Pi Zero + ESP32 setup
Language: Python - Size: 1.94 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 13 - Forks: 2

G0rav/Human_Activity_Recognition
The MHEALTH (Mobile Health) dataset is devised to benchmark techniques dealing with human behavior analysis based on multimodal body sensing.
Language: Jupyter Notebook - Size: 37.3 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 13 - Forks: 2

farrajota/human_activity_torch
Human activity recognition using human pose information to aid classification.
Language: Lua - Size: 1.08 MB - Last synced at: about 2 months ago - Pushed at: almost 8 years ago - Stars: 13 - Forks: 5

KennCoder7/Attention-for-HAR
Attention-Based Convolutional Neural Network for Weakly Labeled Human Activities’ Recognition With Wearable Sensors
Language: Python - Size: 129 KB - Last synced at: 11 months ago - Pushed at: about 5 years ago - Stars: 12 - Forks: 0

KennCoder7/HAR-CNN-1d
Human Activity Recognition
Language: Python - Size: 111 MB - Last synced at: 11 months ago - Pushed at: almost 7 years ago - Stars: 12 - Forks: 3

nilesh-patil/human-activity-recognition-smartphone-sensors
Mini-project based on activity detection dataset at UCIML. Checkout branches for latest push.
Language: HTML - Size: 169 MB - Last synced at: over 1 year ago - Pushed at: almost 8 years ago - Stars: 12 - Forks: 16

tcsvn/pyadlml
Contains data preprocessing and visualization methods for ADL datasets.
Language: Jupyter Notebook - Size: 153 MB - Last synced at: 2 months ago - Pushed at: almost 2 years ago - Stars: 11 - Forks: 11

zabir-nabil/activity-recognition-abc
SCAR-Net, Submission to the Cooking Activity Recognition Challenge, ABC: competition track
Language: Jupyter Notebook - Size: 446 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 11 - Forks: 0

steb6/ISBFSAR
Interactive Skeleton Based Few Shot Action Recognition
Language: Python - Size: 98.9 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 11 - Forks: 2

sidharthgurbani/HAR-using-PyTorch
Implement Human Activity Recognition in PyTorch using hybrid of LSTM, Bi-dir LSTM and Residual Network Models
Language: Python - Size: 57 MB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 11 - Forks: 8

fchamroukhi/SaMUraiS
StAtistical Models for the UnsupeRvised segmentAion of tIme-Series
Language: R - Size: 10.8 MB - Last synced at: about 1 month ago - Pushed at: over 5 years ago - Stars: 11 - Forks: 1

ermshaua/mobile-sensing-human-activity-data-set
This is the supporting website for the paper "MOSAD – a new data set for mobile sensing of human activities".
Language: Jupyter Notebook - Size: 105 MB - Last synced at: 4 months ago - Pushed at: over 2 years ago - Stars: 10 - Forks: 2

diheal/resampling
Sensor Data Augmentation by Resampling for Contrastive Learning in Human Activity Recognition
Language: Python - Size: 66.4 KB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 10 - Forks: 5

ausilianapoli/HAR-CNN-Keras-STM32 Fork of Shahnawax/HAR-CNN-Keras
Human Activity Recognition Using Convolutional Neural Network in Keras for SensorTile (STMicroelectronics)
Language: Python - Size: 94.1 MB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 10 - Forks: 2

OxWearables/actinet
An activity classification model based on self-supervised learning for wrist-worn accelerometer data.
Language: Python - Size: 2.15 MB - Last synced at: about 4 hours ago - Pushed at: 8 days ago - Stars: 8 - Forks: 2

fork123aniket/Human-Activity-Recognition
Implementation for Video Human Activity Recognition using OpenCV
Language: Python - Size: 14.8 MB - Last synced at: 5 months ago - Pushed at: almost 3 years ago - Stars: 8 - Forks: 0

abduallahmohamed/HAR-GCNN
Code for HAR-GCNN: Deep Graph CNNs for Human Activity Recognition From Highly Unlabeled Mobile Sensor Data, IEEE PerCom CoMoRea 2022
Language: Python - Size: 566 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 8 - Forks: 2

gauthamkrishna-g/ActiveHARNet
ActiveHARNet: Towards On-Device Deep Bayesian Active Learning for Human Activity Recognition
Language: Jupyter Notebook - Size: 116 KB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 8 - Forks: 6

sushant1827/Human-Activity-Recognition-with-Smartphones
Kaggle Machine Learning Competition Project : To classify activities into one of the six activities performed by individuals by reading the inertial sensors data collected using Smartphone.
Language: Jupyter Notebook - Size: 46.4 MB - Last synced at: 3 months ago - Pushed at: almost 6 years ago - Stars: 8 - Forks: 3

csarron/MobiRNN-EMDL17
MobiRNN code for the 1st International Workshop on Embedded and Mobile Deep Learning
Language: Java - Size: 20.4 MB - Last synced at: over 2 years ago - Pushed at: about 8 years ago - Stars: 8 - Forks: 8

DiFronzo/LSTM-for-Human-Activity-Recognition-classification
Deep convolutional and LSTM feature extraction approach with 784 features.
Language: Jupyter Notebook - Size: 60.6 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 7 - Forks: 1

STRCSussex-UbiCompSiegen/dl_har_public
Official GitHub page of the workshop paper publication "Increasing Replicability, Comparability and Collaboration in HAR Through a Common Code Base" presented at the 2022 IEEE International Conference on Pervasive Computing and Communications Work (PerCom 22') in Progress Session (WiP).
Language: Python - Size: 648 KB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 7 - Forks: 2

Niangmohamed/Human-Activity-Recognition
Human Activity Recognition from Wearable Inertial Sensor Networks with Machine Learning.
Language: Jupyter Notebook - Size: 15.9 MB - Last synced at: 2 months ago - Pushed at: over 3 years ago - Stars: 7 - Forks: 1

kubabar1/HumanActionRecognition
Implementation of some popular skeleton based Human Action Recognition methods basis on Deep Neural Networks.
Language: Python - Size: 42.7 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 7 - Forks: 4

sustainable-computing/ObscureNet
Code for "ObscureNet: Learning Attribute-invariant Latent Representation for Anonymizing Sensor Data", ACM/IEEE IoTDI 2021
Language: Python - Size: 392 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 7 - Forks: 2

B-HAR-HumanActivityRecognition/B-HAR_Baseline-Human-Activity-Recognition
This package focuses on the definition, standardization, and development of workflow for human activity recognition in depth analysis.
Language: Jupyter Notebook - Size: 2.87 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 7 - Forks: 2
