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.
☆99Jun 22, 2017Updated 8 years ago
Alternatives and similar repositories for Human-Activity-Recognition
Users that are interested in Human-Activity-Recognition are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Use a LSTM network to predict human activities from sensor signals collected from a smartphone☆50Jul 16, 2022Updated 3 years ago
- Convolutional Neural Network for Human Activity Recognition in Tensorflow☆485Nov 16, 2022Updated 3 years ago
- MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and …☆365Oct 19, 2021Updated 4 years ago
- iPython notebook and Android app that shows how to build LSTM model in TensorFlow and deploy it on Android☆195Jan 14, 2021Updated 5 years ago
- This repository provides the codes and data used in our paper "Human Activity Recognition Based on Wearable Sensor Data: A Standardizatio…☆104Oct 11, 2019Updated 6 years ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Code for our IJCAI 2019 paper "A Novel Distribution-Embedded Neural Network for Sensor-Based Activity Recognition".☆17Mar 18, 2020Updated 6 years ago
- LSTM based human activity recognition using smart phone sensor dataset☆22Jun 17, 2017Updated 8 years ago
- Galvanize capstone project for classifying human activity of daily living using uci machine learning smartphones data set.☆17Sep 4, 2015Updated 10 years ago
- Human Activity Recognition Using Deep Learning☆49Jan 22, 2020Updated 6 years ago
- ☆41Sep 14, 2017Updated 8 years ago
- Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement among…☆3,533Nov 6, 2022Updated 3 years ago
- DANA: Dimension-Adaptive Neural Architecture (UbiComp'21)( ACM IMWUT)☆47Oct 25, 2021Updated 4 years ago
- DeepConvLSTM model for sensor-based human activity recognition in Pytorch☆40May 22, 2019Updated 6 years ago
- Human Activity Recognition Using Convolutional Neural Network in Keras☆218Jan 15, 2019Updated 7 years ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Keras implementation of CNN, DeepConvLSTM, and SDAE and LightGBM for sensor-based Human Activity Recognition (HAR).☆74Feb 16, 2023Updated 3 years ago
- LSTM-CNN model for Human Activity Recognition☆24Jun 10, 2018Updated 7 years ago
- TensorFlow implementation of Sensors 2018 paper: Divide and Conquer-based 1D CNN Human Activity Recognition Using Test Data Sharpening☆12Sep 28, 2018Updated 7 years ago
- Deep learning framework for wearable activity recognition based on convolutional and LSTM recurretn layers☆290Jun 3, 2018Updated 7 years ago
- An up-to-date & curated list of Awesome IMU-based Human Activity Recognition(Ubiquitous Computing) papers, methods & resources. Please no…☆336Nov 29, 2024Updated last year
- Attend and Discriminate: Beyond the State-of-the-Art for Human Activity Recognition Using Wearable Sensors☆24Feb 21, 2021Updated 5 years ago
- ☆54Jan 7, 2019Updated 7 years ago
- Deep Convolutional Bidirectional LSTM for Complex Activity Recognition with Missing Data. Human Activity Recognition Challenge. Springer …☆23Apr 26, 2021Updated 4 years ago
- Artificial Neural Networks (ANN), k-Nearest Neighbors, Random Forest classifier and Support Vector Machines (SVM) were trained over a HAR…☆24Mar 26, 2018Updated 8 years ago
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Applying a hierarchical Deep Learning to sensor stream data collected from smartphones and smartwatches to recognize the activity of user…☆33Dec 7, 2020Updated 5 years ago
- Encoding human activity by considering salient sensors and time points.☆42Mar 24, 2023Updated 3 years ago
- neural style tranfer from one walking/gait cycle to another; ArXiv:1606.03238 & ArXiv:1508.06576☆14Oct 19, 2017Updated 8 years ago
- Simple 1D CNN approach to human-activity-recognition (HAR) in PyTorch.☆61May 14, 2019Updated 6 years ago
- Application of Deep Learning to Human Activity Recognition using accelerometer and gyroscope sensors data☆68Mar 25, 2018Updated 8 years ago
- sourcecode for IMWUT 2017 paper "Ensembles of Deep LSTM Learners for Activity Recognition using Wearables" (Guan, Ploetz)☆18Sep 27, 2018Updated 7 years ago
- Using tensorflow object detection api and openCV to calculate real world coordinates from top view with fixed height of the camera.☆10Jun 19, 2021Updated 4 years ago
- Sensor-based human activity recognition from smartphone data in Keras with on-device inference☆40May 16, 2019Updated 6 years ago
- Implement Human Activity Recognition in PyTorch using hybrid of LSTM, Bi-dir LSTM and Residual Network Models☆16May 8, 2020Updated 5 years ago
- Deploy open-source AI quickly and easily - Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- 🚀 手机加速度传感器数据进行人体行为识别☆72Mar 13, 2018Updated 8 years ago
- Materials for talk at PyData London 2016☆37May 7, 2016Updated 9 years ago
- collected real time walking data(patterns) with gyroscope, use Fast Fourier Transformation to extract the clustering features, and build …☆10Mar 2, 2020Updated 6 years ago
- Human Activity Recognition Transformer (HART) is a transformer based architecture that has been specifically adapted for IMU sensing devi…☆77Dec 10, 2024Updated last year
- Repository zum Buch "Machine Learning für Zeitreihen. Einstieg in Regressions-, ARIMA- und Deep Learning-Verfahren""☆11Jan 28, 2022Updated 4 years ago
- Transformer for Human Activity Recognition☆76Jan 18, 2023Updated 3 years ago
- Mini-project based on activity detection dataset at UCIML. Checkout branches for latest push.☆12Sep 20, 2017Updated 8 years ago