GitHub topics: human-activity-recognition

Repositories

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: 1 day ago - Pushed at: 1 day ago - Stars: 7 - Forks: 1

InfantLab/VideoAnnotator

A tool for automatic annotation of human interaction videos with pose, face, emotion, speech & more.

Language: Python - Size: 153 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 1 - Forks: 1

piyushkadam96k/human-people-detection

This project uses YOLOv8 and OpenCV to detect and count people in real time from a webcam or video feed, showing bounding boxes, confidence scores, and FPS on screen.

Language: Python - Size: 7.81 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

zechenli03/ZARA

Official implementation of "ZARA: Zero-shot Motion Time-Series Analysis via Knowledge and Retrieval Driven LLM Agents"

Language: Python - Size: 1.06 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 6 - Forks: 1

InfantLab/video-annotation-viewer

Advanced multimodal analysis tool for reviewing video annotations with pose detection, emotion recognition, audio analysis, and interactive timeline visualization.

Language: TypeScript - Size: 37.4 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 1 - Forks: 1

mariusbock/weak_har

Weak-Annotation of HAR Datasets using Vision Foundation Models, Bock et al., presented at ISWC 2024 (Melbourne, Australia)

Language: Python - Size: 1.39 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 1 - Forks: 1

69rascal/cognitive-load

🧠 Reduce cognitive load in coding to enhance understanding and efficiency. Contribute to a clear, practical guide for improving code comprehension.

Size: 14.4 MB - Last synced at: 4 days ago - Pushed at: 5 days ago - Stars: 1 - Forks: 1

beldub/doppler

⚡ Optimize price feeds on Solana with Doppler, a high-performance oracle program that uses just 21 Compute Units per update for unmatched efficiency.

Language: Rust - Size: 49.8 KB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

iscaas/AFOSR-HAR-2021-2025

A Multimodal Attention-Based Deep Learning Framework For Real-Time Activity Recognition At The Edge

Language: Python - Size: 137 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 2 - Forks: 1

OxWearables/actinet

An activity classification model based on self-supervised learning for wrist-worn accelerometer data.

Language: Python - Size: 2.22 MB - Last synced at: 10 days ago - Pushed at: 11 days ago - Stars: 10 - Forks: 3

Leo-Cyberautonomy/awesome-human-activity-recognition

Curated catalog of 40+ Human Activity Recognition (HAR) and action recognition datasets: vision, wearable sensors, skeleton/mocap, multimodal. Includes benchmarks, baselines, and citations.

Language: Python - Size: 65.4 KB - Last synced at: about 17 hours ago - Pushed at: 12 days ago - Stars: 1 - Forks: 0

lky473736/InceptionMK

(paper source) Geometric Self-Supervised Learning for HAR using Inception with Multi-Kernel Convolutions

Language: Python - Size: 1.63 MB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 5 - Forks: 0

karagultm/on-device-learning

On-Device Learning for Human Activity Recognition on Low-Power Microcontrollers

Language: C - Size: 24.4 KB - Last synced at: 13 days ago - Pushed at: about 2 months ago - Stars: 2 - Forks: 0

The FMCW radar-based food intake monitoring-oriented dataset contains 70 meal sessions (4132 eating gestures and 893 drinking gestures) from 70 participants with a total duration of 1155 minutes. Four eating styles (fork & knife, chopsticks, spoon, hand) are included in this dataset.

Size: 7.81 KB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 4 - Forks: 0

rh20624/Awesome-IMU-Sensing

A collection of datasets, papers, and resources for Generalizable Human Activity Recognition and IMU sensing.

Size: 452 KB - Last synced at: 29 days ago - Pushed at: 29 days ago - Stars: 91 - Forks: 6

jonnor/toothbrush

Toothbrush tracker/timer using accelerometer and machine learning

Language: Jupyter Notebook - Size: 26.1 MB - Last synced at: 14 days ago - Pushed at: 29 days ago - Stars: 2 - Forks: 0

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: 29 days ago - Pushed at: about 1 month ago - Stars: 13,800 - Forks: 2,996

TemryL/EyeRub-Det

This repository presents a machine learning method using transformers to detect eye rubbing through smartwatch IMU data, aiming to aid in the prevention and management of ectatic disorders like keratoconus. Our approach demonstrates the feasibility of distinguishing eye rubbing from similar hand gestures using wearable devices.

Language: Python - Size: 121 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

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: 21 days ago - Pushed at: about 7 years ago - Stars: 787 - Forks: 215

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: about 1 month ago - Pushed at: about 1 month ago - Stars: 285 - Forks: 15

lky473736/ZSL-HAR

(paper source) Contrastive Learning for Zero-Shot Human Activity Recognition Using Labeled Simple Actions on Wearable Devices, Gyuyeon Lim and Myung-Kyu Yi, IEEE Sensors Journal (IF 4.5, CiteScore 8.2), 2025.

Language: Python - Size: 2.15 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 3 - Forks: 0

Mo-sharifi/human-activity-har

🚶‍♂️ Human Activity Recognition using accelerometer data from lower back and right thigh sensors. The model segments time-series signals into windows, extracts simple statistical features, and classifies activities into 8 categories with a macro F1 ≈ 0.78 on validation.

Language: Jupyter Notebook - Size: 23.1 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

Apostles1/cautious-guide

My clone repository

Size: 775 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

BNTechie/Predictive-modeling

Credit card fraud detection, Breast cancer prediction, Wine quality prediction, Bank note authentication, prediction of attrition of employees, Stock prediction, etc

Language: Jupyter Notebook - Size: 14.9 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

njmiklos/thesis-scripts-har-smart-home

This repository contains the code I am developing for my MA thesis on Human Activity Recognition (HAR) using smart home data.

Language: Python - Size: 574 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

Alessandro-Gobbetti/MTSSL_for_Label-Efficient_Learning

Code for my Master's thesis on Multi‑Task Self‑Supervised Learning for label‑efficient learning. Modular PyTorch framework combining contrastive + pretext tasks with dynamic loss weighting, and centralized/federated training (HAR/STL‑10) to learn compact, robust representations.

Language: Python - Size: 33.7 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

fork123aniket/Human-Activity-Recognition

Implementation for Video Human Activity Recognition using OpenCV

Language: Python - Size: 14.8 MB - Last synced at: about 1 month ago - Pushed at: almost 3 years ago - Stars: 9 - Forks: 0

tcsvn/pyadlml

Contains data preprocessing and visualization methods for ADL datasets.

Language: Jupyter Notebook - Size: 153 MB - Last synced at: 7 days ago - Pushed at: about 2 years ago - Stars: 12 - Forks: 11

tonysomoggi/FoG-STAR

📊 Analyze Freezing of Gait severity and tasks with this dataset from 22 Parkinson's patients using wearable sensor data for enhanced research and insights.

Size: 7.81 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

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: 8 days ago - Pushed at: 3 months ago - Stars: 24 - Forks: 7

cruiseresearchgroup/SensorLLM

[EMNLP 2025] Official implementation of "SensorLLM: Aligning Large Language Models with Motion Sensors for Human Activity Recognition"

Language: Python - Size: 1.72 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 44 - Forks: 9

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: 23 days ago - Pushed at: 3 months ago - Stars: 20 - Forks: 4

xaxm007/WiFi-CSI-HAR

A desktop application that recognizes human activities based on Wi-Fi Signal data captured using Raspberry Pi

Language: Jupyter Notebook - Size: 539 MB - Last synced at: 26 days ago - Pushed at: 7 months ago - Stars: 5 - Forks: 3

Event-AHU/HARDVS

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

Language: Python - Size: 10.6 MB - Last synced at: about 2 months ago - Pushed at: 6 months ago - Stars: 50 - Forks: 4

SatChittAnand/Human_Activity_RecognitionModel

Human Activity Recognition (HAR) model classifies physical activities like walking, running, or sitting using sensor data from wearables (accelerometers/gyroscopes). Built with ML/DL models, this project includes preprocessing, training, and evaluation pipelines. Ideal for fitness tracking and smart health applications.

Language: Jupyter Notebook - Size: 11.6 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 2

dimimat/on-device-fed-learning

On-device Federated Learning for Human Activity Recognition (Android + TFLite + Flower). Real-device experiments & results.

Language: Jupyter Notebook - Size: 37.8 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

kelsonbatista/fall-detection-ai-project

Fall detection model (AI) with YOLO and LSTM

Language: Jupyter Notebook - Size: 27.2 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

markub3327/HAR-Transformer

Transformer for Human Activity Recognition

Language: Jupyter Notebook - Size: 19.6 MB - Last synced at: about 2 months ago - Pushed at: almost 3 years ago - Stars: 74 - Forks: 17

lky473736/ABFA-HAR

(paper source) Activity-Based Feature Augmentation with Multi-Kernel Temporal Convolution and Transformer for Human Activity Recognition

Language: Python - Size: 2.03 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 3 - Forks: 0

samikshasain03/Human-Activity-Recognition

Language: Jupyter Notebook - Size: 9.77 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Robotics-Sensors/.github

ROS/ROS2 -- Navigation, Manipulation, Mimicking, Sensor Fusion, VR, Speech Recogition, Activity Recognition, Computer Vision

Size: 171 KB - Last synced at: 9 days ago - Pushed at: 7 months ago - Stars: 2 - Forks: 0

Unity-Technologies/PeopleSansPeople

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

Language: C# - Size: 446 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 314 - Forks: 35

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: 20 days ago - Pushed at: about 6 years ago - Stars: 7 - Forks: 3

mariusbock/leakage_har

Label Leakage in Federated Inertial-based Human Activity Recognition, Bock and Hopp et al., to be presented at ISWC 2025 (Espoo, Finland)

Language: Python - Size: 1.11 GB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

IliesChibane/Exploring-the-OPPORTUNITY-Dataset-for-Activity-Recognition

Exploring the OPPORTUNITY Dataset for Human Activity Recognition, aiming to advance algorithms in classification, data segmentation, sensor fusion, and feature extraction. This dataset, encompassing wearable, object, and ambient sensor data, serves as a benchmark for refining activity recognition systems.

Language: Jupyter Notebook - Size: 3.26 MB - Last synced at: 23 days ago - Pushed at: 11 months ago - Stars: 7 - Forks: 0

emadeldeen24/TS-TCC

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

Language: Python - Size: 2.83 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 446 - Forks: 110

LinguaByte1111/Human-Activity-Recognition

Human Activity Recognition system using a pre-trained deep learning model built with TensorFlow/Keras. The system captures live video from a webcam and classifies human actions such as walking, sitting, standing, and more.

Language: Python - Size: 30.3 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

haris936hk/PsychologyProject

Cognitive Assessment Games Suite - Interactive Python/Pygame games testing memory, reaction time & verbal recall. Features memory matching, reaction time tests, and word sequence challenges. Perfect for cognitive training and assessment. Easy-to-use menu system with scoring and progress tracking.

Language: Python - Size: 4.8 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

lpigeon/SPECTRUM-HRI

This study proposes a transformer-based intent classification model that recognizes key actions in HRI scenarios—'Start', 'Stop', 'Handover', and 'Request'. The model enhances classification performance by incorporating RGB data in addition to skeleton data.

Language: Python - Size: 2.24 MB - Last synced at: 8 days ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

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: 5 months ago - Pushed at: about 1 year ago - Stars: 17 - Forks: 3

swiss-territorial-data-lab/proj-sda

A deep learning model trained to segment human activity in a multi-year dataset of aerial imagery from 1946 to 2023.

Language: Python - Size: 14.6 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

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: 5 months ago - Pushed at: 5 months ago - Stars: 18 - Forks: 2

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: 5 months ago - Pushed at: about 1 year ago - Stars: 127 - Forks: 31

vikas-kashyap97/langgraph_models

**LangGraph Models** is a curated collection of modular LLM workflows built using [LangGraph](https://github.com/langchain-ai/langgraph). It features step-by-step examples—from basic agents to advanced multi-agent and RAG systems—designed for stateful, memory-aware, and tool-augmented applications.

Language: Python - Size: 75.2 KB - Last synced at: 4 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

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: 5 months ago - Pushed at: almost 3 years ago - Stars: 479 - Forks: 221

akosinyll1404/CPE313-FinalProjectp2

Clone of CPE313-FinalProject. This serve as a backup for the project and implementation of the office employee detection

Language: Jupyter Notebook - Size: 1010 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

sankoktas/bhi360-fall-detection

Fall detection system using Bosch BHI360 sensor data with time-series labeling, feature extraction, and machine learning (LOSO CV + Gradient Boosting).

Language: Jupyter Notebook - Size: 49.5 MB - Last synced at: 3 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

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: 5 months ago - Pushed at: almost 3 years ago - Stars: 3,401 - Forks: 939

simonperneel/MAI-Thesis-HAR

Software and dataset used for my thesis about human activity recognition with inertial sensors.

Language: Python - Size: 107 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 3 - Forks: 0

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: 4 days ago - Pushed at: about 5 years ago - Stars: 48 - Forks: 6

khanyousufminhaj/sensor_har

Flask app that utilizes Accelerometer and gyroscope data from smartphones for real time activity detection. For final year project

Language: Jupyter Notebook - Size: 59.8 MB - Last synced at: 5 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

AP0827/SVMvsDL

Comparing Support Vector Machines (Radial Basis Function and Polynomial) with Deep Learning Models like Conv1D and LSTM

Language: Jupyter Notebook - Size: 11.1 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

Omar10lfc/LSTM_Human_Activity_Detection

This project focuses on Human Activity Recognition (HAR) using time-series sensor data collected from mobile devices. The goal is to build a deep learning model specifically an (LSTM-based neural network) that can accurately classify daily activities such based on accelerometer data.

Language: Jupyter Notebook - Size: 11 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

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: 14 days ago - Pushed at: about 2 years ago - Stars: 36 - Forks: 2

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: 5 months ago - Pushed at: almost 3 years ago - Stars: 318 - Forks: 99

somjit101/Human-Activity-Recognition

This project is to build a model that predicts the human activities such as Walking, Walking Upstairs, Walking Downstairs, Sitting, Standing or Laying using readings from the sensors on a smartphone carried by the user.

Language: Jupyter Notebook - Size: 58.2 MB - Last synced at: 28 days ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

Shakshi3104/Motion-CoreML

Classify activities from acceleration data with Core ML

Language: Swift - Size: 17.7 MB - Last synced at: 9 days ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 2

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: 7 months ago - Pushed at: 7 months ago - Stars: 95 - Forks: 18

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: 6 months ago - Pushed at: almost 3 years ago - Stars: 163 - Forks: 58

Tolumie/Human-Activity-Classification-model

Human Activity Classification using Machine Learning Classifying human activities (walking, sitting, standing, etc.) using smartphone sensor data from accelerometers and gyroscopes.

Language: Jupyter Notebook - Size: 275 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

Anhhhhh2005/Human-Activity-Recognition

Nghiên cứu này phát triển hệ thống nhận diện hành động của con người sử dụng dữ liệu từ cảm biến gia tốc trên điện thoại di động. Mô hình BiLSTM được áp dụng để phân tích chuỗi thời gian và nhận diện các hoạt động như đi bộ, chạy, ngồi, đứng và leo cầu thang.

Size: 31.3 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

lky473736/CAGE

(paperwork) testing contrastive learning using the contrastive loss at CLIP, CAGE4HAR

Language: Jupyter Notebook - Size: 1.03 GB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

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: 8 months ago - Pushed at: 8 months ago - Stars: 51 - Forks: 30

fchamroukhi/SaMUraiS

StAtistical Models for the UnsupeRvised segmentAion of tIme-Series

Language: R - Size: 10.8 MB - Last synced at: 12 days ago - Pushed at: almost 6 years ago - Stars: 11 - Forks: 1

lky473736/DDPM

(paperwork) anomaly detection using DDPM on fall-detection dataset

Language: Jupyter Notebook - Size: 124 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

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: 4 months ago - Pushed at: over 3 years ago - Stars: 7 - Forks: 1

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: 6 months ago - Pushed at: almost 3 years ago - Stars: 43 - Forks: 7

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: 6 months ago - Pushed at: over 2 years ago - Stars: 10 - Forks: 2

Shakshi3104/Activitybench

Benchmarking convolutional neural networks for sensor-based human activity recognition on iPhone

Language: Swift - Size: 12.4 MB - Last synced at: 9 days ago - Pushed at: over 3 years ago - Stars: 5 - Forks: 0

pranshu-raj-211/human-action-recognition

Research project on Human Activity Recognition using the Opportunity dataset

Language: Jupyter Notebook - Size: 57.6 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

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: 5 months ago - Pushed at: over 2 years ago - Stars: 65 - Forks: 4

chinmayembedded/Human-Activity-Recognition

Real time human activity recognition using tensorflow openpose and LSTM

Language: PureBasic - Size: 76.2 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 16 - Forks: 6

Niloy333/KU-HAR

KU-HAR is a trending human activity recognition dataset.

Language: Jupyter Notebook - Size: 2.47 MB - Last synced at: 8 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

setare92-ha/har_using_neural_networks

Language: Jupyter Notebook - Size: 4.2 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

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: 9 months ago - Pushed at: 9 months ago - Stars: 30 - Forks: 7

SIT-FL/FL-Fall-Detection 📦

Federated learning for hierarchical classification of fall detection, and human activity recognition

Language: Jupyter Notebook - Size: 239 MB - Last synced at: 10 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

RahmanToufik/Deep-Learning-for-Human-Action-Recognition

This repository contains all resources and documentation related to the Human Action Recognition project. The goal of this project is to classify different human actions using deep learning models trained on the Human Action Recognition (HAR) dataset.

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0