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
Sorting:
- Use a LSTM network to predict human activities from sensor signals collected from a smartphone☆52Jul 16, 2022Updated 3 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…☆85Oct 2, 2018Updated 7 years ago
- predicts the human activities based on accelerometer and Gyroscope data of Smart phones☆58Mar 17, 2021Updated 4 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
- MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and …☆362Oct 19, 2021Updated 4 years ago
- Multimodal human activity recognition using wrist-worn wearable sensors.☆47Aug 5, 2020Updated 5 years ago
- Code for our IJCAI 2019 paper "A Novel Distribution-Embedded Neural Network for Sensor-Based Activity Recognition".☆17Mar 18, 2020Updated 5 years ago
- Convolutional Neural Network for Human Activity Recognition in Tensorflow☆486Nov 16, 2022Updated 3 years ago
- DeepConvLSTM model for sensor-based human activity recognition in Pytorch☆40May 22, 2019Updated 6 years ago
- Keras implementation of CNN, DeepConvLSTM, and SDAE and LightGBM for sensor-based Human Activity Recognition (HAR).☆74Feb 16, 2023Updated 3 years ago
- iPython notebook and Android app that shows how to build LSTM model in TensorFlow and deploy it on Android☆196Jan 14, 2021Updated 5 years ago
- CNNs and Stacked denoising autoencoders for human activity recognition using Keras☆22Sep 11, 2018Updated 7 years ago
- Human Activity Recognition Using Deep Learning☆49Jan 22, 2020Updated 6 years ago
- Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement among…☆3,550Nov 6, 2022Updated 3 years ago
- Personalized machine learning on the smartphone☆60Mar 25, 2023Updated 2 years ago
- ☆41Sep 14, 2017Updated 8 years ago
- This project aims to classify human activities using data obtained from accelerometer and gyroscope sensors from phone and watch.☆127Dec 21, 2024Updated last year
- Human Activity Recognition Using Convolutional Neural Network in Keras☆218Jan 15, 2019Updated 7 years ago
- AROMA: A Deep Multi-Task Learning Based Simple and Complex Human Activity Recognition Method Using Wearable Sensors☆29May 15, 2018Updated 7 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
- An up-to-date & curated list of Awesome IMU-based Human Activity Recognition(Ubiquitous Computing) papers, methods & resources. Please no…☆331Nov 29, 2024Updated last year
- 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
- Deep learning framework for wearable activity recognition based on convolutional and LSTM recurretn layers☆287Jun 3, 2018Updated 7 years ago
- Application of Deep Learning to Human Activity Recognition using accelerometer and gyroscope sensors data☆68Mar 25, 2018Updated 7 years ago
- Encoding human activity by considering salient sensors and time points.☆42Mar 24, 2023Updated 2 years ago
- Human Activity Recognition Transformer (HART) is a transformer based architecture that has been specifically adapted for IMU sensing devi…☆75Dec 10, 2024Updated last year
- Simple 1D CNN approach to human-activity-recognition (HAR) in PyTorch.☆61May 14, 2019Updated 6 years ago
- The goal of this project is to classify the actions taken by the user (walking, climbing stairs and descendingn stairs) from the 3D accel…☆11Jan 17, 2020Updated 6 years ago
- Attend and Discriminate: Beyond the State-of-the-Art for Human Activity Recognition Using Wearable Sensors☆23Feb 21, 2021Updated 5 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 7 years ago
- Code repository for experiments on deep architecture for HAR in ubicomp☆25May 29, 2017Updated 8 years ago
- [T-CSVT 2021]: DeepOIS: Gyroscope-Guided Deep Optical Image Stabilizer Compensation☆11Jul 4, 2023Updated 2 years ago
- ActiveHARNet: Towards On-Device Deep Bayesian Active Learning for Human Activity Recognition☆12Nov 7, 2020Updated 5 years ago
- Transformer for Human Activity Recognition☆77Jan 18, 2023Updated 3 years ago
- The comparsion methods code☆12Mar 7, 2022Updated 3 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
- ☆54Jan 7, 2019Updated 7 years ago
- 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
- A tutorial for using deep learning for activity recognition (Pytorch and Tensorflow)☆233Oct 26, 2021Updated 4 years ago