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Search results for human activity recognition

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67 search results found

Paddledetection ⭐ 11,653

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

Lstm Human Activity Recognition ⭐ 3,074

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

Actionai ⭐ 725

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

K Nearest Neighbors With Dynamic Time Warping ⭐ 540

Python implementation of KNN and DTW classification algorithm

Human Activity Recognition Using Cnn ⭐ 355

Convolutional Neural Network for Human Activity Recognition in Tensorflow

Har Stacked Residual Bidir Lstms ⭐ 283

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.

Peoplesanspeople ⭐ 273

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

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

Motion Sense ⭐ 189

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

Quickpose Ios Sdk ⭐ 179

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

Humanbehaviorbku ⭐ 116

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

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

Activity Assistant ⭐ 55

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

Ssl Wearables ⭐ 45

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

Human Activity Recognition ⭐ 44

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.

3d Cnn Action Recognition ⭐ 41

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

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

Wifi_csi_based_har ⭐ 40

Human Activity Recognition based on WiFi Channel State Information

Human Activity Recognition ⭐ 40

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

Swift Har ⭐ 40

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

Dl For Har ⭐ 37

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')

Eccv18_mtvae ⭐ 31

Tensorflow Implementation of ECCV'18 paper: Multimodal Human Motion Synthesis

Human Action Recognition ⭐ 31

Multi Person Action Recognition with Tracking

Human Activities Gestures Recognition Using Channel State Information Csi Of Ieee 802.11n ⭐ 31

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

Wearablesensordata ⭐ 28

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.

Har Dataset Preprocess ⭐ 27

Optical Flow Guided Feature ⭐ 27

Code for paper: Optical Flow Guided Feature: A Fast and Robust Motion Representation for Video Action Recognition

Human Activity Recognition ⭐ 26

Recognizing human activities using Deep Learning

Deep Casas ⭐ 26

Deep learning and LSTM approaches for human activity recognition

Vid2doppler ⭐ 23

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

Official source code for "Continual 3D Convolutional Neural Networks for Real-time Processing of Videos" [ECCV2022]

Har Keras Coreml ⭐ 21

Human Activity Recognition (HAR) with Keras and CoreML

Ml Application On Network ⭐ 20

Offering recent HAR papers collection

Lstm_har ⭐ 19

LSTM based human activity recognition using smart phone sensor dataset

Har Transformer ⭐ 18

Transformer for Human Activity Recognition

Human Activity Recognition ⭐ 18

Multimodal human activity recognition using wrist-worn wearable sensors.

Recognize one of six human activities such as standing, sitting, and walking using a Softmax Classifier trained on mobile phone sensor data.

Vlog_action_reason ⭐ 17

Identifying reasons for human actions in lifestyle vlogs.

Auritus: An Open-Source Optimization Toolkit for Training and Development of Human Movement Models and Filters Using Earables

Activity_rec_ml Lstm ⭐ 16

Activity Recognition using Temporal Optical Flow Convolutional Features and Multi-Layer LSTM

DANA: Dimension-Adaptive Neural Architecture (UbiComp'21)( ACM IMWUT)

Deep Learning For Human Activity Recognition ⭐ 15

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

Human Activity Dih18 ⭐ 15

Human Activity Recognition Using Deep Neural Network

Human_activity_recognition ⭐ 14

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.

[AAAI-2024] HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors

Har Joint Model ⭐ 13

AROMA: A Deep Multi-Task Learning Based Simple and Complex Human Activity Recognition Method Using Wearable Sensors

Human Activity Recognition ⭐ 13

Human activity recognition using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six categories (WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING, LAYING).

Robust Deep Learning Pipeline ⭐ 12

Deep Convolutional Bidirectional LSTM for Complex Activity Recognition with Missing Data. Human Activity Recognition Challenge. Springer SIST (2020)

Har Wisdm Lstm Rnns ⭐ 12

Human Activity Recognition on the Wireless Sensor Data Mining (WISDM) dataset using LSTM Recurrent Neural Networks

Metasense_public ⭐ 12

The official PyTorch Implementation of MetaSense (MetaSense: Few-Shot Adaptation to Untrained Conditions in Deep Mobile Sensing, ACM SenSys '19).

Human_activity_torch ⭐ 11

Human activity recognition using human pose information to aid classification.

[UbiComp/IMWUT '23] Hierarchical Clustering-based Personalized Federated Learning for Robust and Fair Human Activity Recognition

Mobirnn Emdl17 ⭐ 9

MobiRNN code for the 1st International Workshop on Embedded and Mobile Deep Learning

Contains data preprocessing and visualization methods for ADL datasets.

Human Activity Recognition ⭐ 8

Real time human activity recognition using tensorflow openpose and LSTM

Anthronet ⭐ 8

Unity's Privacy-Preserving Novel Human Body Model Trained Solely on Synthetic Data and Corresponding Dense Anthropometric Measurements

Har On Stm32f401c ⭐ 6

使用卷积神经网络在STM32F401C-DISCO上实现人体活动识别

Sensorlogger ⭐ 6

Android Sensor Data Collection application

Mot Research ⭐ 6

Human Activity Recognition Research Repository

Resampling ⭐ 6

Sensor Data Augmentation by Resampling for Contrastive Learning in Human Activity Recognition

StAtistical Models for the UnsupeRvised segmentAion of tIme-Series

Lstm For Human Activity Recognition Classification ⭐ 5

Deep convolutional and LSTM feature extraction approach with 784 features.

Dl_har_public ⭐ 5

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).

Crossai Lib ⭐ 5

An open-source library that consists of high-level functionalities capable of developing ML pipelines for Time-Series Analysis regarding Audio, Speech, and finally, Human Activity Recognition.

Improving Human Activity Recognition through Self-training with Unlabeled Data

Interactive Skeleton Based Few Shot Action Recognition

Human Activity Recognition Smartphone Sensors ⭐ 5

Mini-project based on activity detection dataset at UCIML. Checkout branches for latest push.

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