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.
☆105Oct 11, 2019Updated 7 years ago
Alternatives and similar repositories for WearableSensorData
Users that are interested in WearableSensorData are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [ECAI 2020] Tensorflow 2.x Implementation of "Human Activity Recognition from Wearable Sensor Data Using Self-Attention"☆51Mar 30, 2021Updated 5 years ago
- [PAKDD-2021] Hierarchical Self Attention Based Autoencoder for Open-Set Human Activity Recognition☆17May 23, 2023Updated 3 years ago
- Attend and Discriminate: Beyond the State-of-the-Art for Human Activity Recognition Using Wearable Sensors☆25Feb 21, 2021Updated 5 years ago
- MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and …☆368Oct 19, 2021Updated 5 years ago
- This github is an implementation for accepted manuscript titled Human Activity Recognition using Wearable Sensors: Review, Challenges, Ev…☆17Mar 19, 2021Updated 5 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Classifying the physical activities performed by a user based on accelerometer and gyroscope sensor data collected by a smartphone in the…☆98Jun 22, 2017Updated 9 years ago
- Deep learning framework for wearable activity recognition based on convolutional and LSTM recurretn layers☆289Jun 3, 2018Updated 8 years ago
- Improving Human Activity Recognition through Self-training with Unlabeled Data☆43Jul 13, 2021Updated 5 years ago
- Code for HAR-GCNN: Deep Graph CNNs for Human Activity Recognition From Highly Unlabeled Mobile Sensor Data, IEEE PerCom CoMoRea 2022☆13May 9, 2022Updated 4 years ago
- Code for data processing used for the experiment in paper "Deepsense: a unified deep learning framework for time-series mobile sensing da…☆29Jul 15, 2017Updated 9 years ago
- Multimodal human activity recognition using wrist-worn wearable sensors.☆49Aug 5, 2020Updated 6 years ago
- CZU-MHAD: A multimodal dataset for human action recognition utilizing a depth camera and 10 wearable inertial sensors☆26Jun 2, 2022Updated 4 years ago
- The VALIDATION ACCURACY is BEST on KAGGLE. Artificial Neural Network with a validation accuracy of 97.98 % and a precision of 95% was ach…☆86Oct 2, 2018Updated 8 years ago
- MATLAB implementation of gait cycle validation and segmentation using inertial sensors.☆18Jun 11, 2021Updated 5 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Implementation code and parameters of the CNN-IMU presented in the Journal "Convolutional Neural Networks for Human Activity Recognition …☆33Aug 14, 2019Updated 7 years ago
- An up-to-date & curated list of Awesome Human Activity Recognition(Ubiquitous Computing) papers, methods & resources.☆32Jan 26, 2021Updated 5 years ago
- Code for our IJCAI 2019 paper "A Novel Distribution-Embedded Neural Network for Sensor-Based Activity Recognition".☆17Mar 18, 2020Updated 6 years ago
- An up-to-date & curated list of Awesome IMU-based Human Activity Recognition(Ubiquitous Computing) papers, methods & resources. Please no…☆341Nov 29, 2024Updated last year
- DeepConvLSTM implemented in python 3 and pytorch☆28Oct 15, 2021Updated 5 years ago
- Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type …☆322Nov 6, 2022Updated 4 years ago
- Use a LSTM network to predict human activities from sensor signals collected from a smartphone☆50Jul 16, 2022Updated 4 years ago
- This is the project of "If-ConvTransformer: A Framework for Human Activity Recognition Using IMU Fusion and ConvTransformer"☆43Apr 3, 2025Updated last year
- Keras implementation of CNN, DeepConvLSTM, and SDAE and LightGBM for sensor-based Human Activity Recognition (HAR).☆74Feb 16, 2023Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Deepsense: a unified deep learning framework for time-series mobile sensing data processing.☆200Oct 3, 2019Updated 7 years ago
- Transformer for Human Activity Recognition☆78Jan 18, 2023Updated 3 years ago
- TensorFlow implementation of Sensors 2018 paper: Divide and Conquer-based 1D CNN Human Activity Recognition Using Test Data Sharpening☆12Sep 28, 2018Updated 8 years ago
- Database for human gait analysis consisting of continues recordings of combined activities, such as walking, running, taking stairs up an…☆116Nov 25, 2020Updated 5 years ago
- Human Activity Recognition Transformer (HART) is a transformer based architecture that has been specifically adapted for IMU sensing devi…☆79Dec 10, 2024Updated last year
- Performed various Deep Learning techniques to detect Human Activity using Sequential Data detect human activities generated by sensor-bas…☆22Mar 19, 2020Updated 6 years ago
- Transformer Network for Time-Series, Sensor and Wearable Data☆28Feb 8, 2021Updated 5 years ago
- Resources about activity recognition-行为识别资料☆930Aug 20, 2019Updated 7 years ago
- Human Activity Recognition Using Deep Learning☆50Jan 22, 2020Updated 6 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- ☆38Feb 23, 2017Updated 9 years ago
- Official implementation of "IDOL: Inertial Deep Orientation-estimation & Localization." AAAI 2021.☆60Feb 2, 2021Updated 5 years ago
- ☆11Sep 20, 2025Updated last year
- This repository focuses on demonstrating techniques to track kinematics from inertial measurement units (IMUs).☆10Jun 25, 2022Updated 4 years ago
- ☆10Feb 14, 2023Updated 3 years ago
- ☆11Aug 17, 2022Updated 4 years ago
- A sample code of data augmentation methods for wearable sensor data (time-series data)☆412Aug 3, 2020Updated 6 years ago