STRCWearlab / DeepConvLSTM
Deep learning framework for wearable activity recognition based on convolutional and LSTM recurretn layers
☆276Updated 6 years ago
Alternatives and similar repositories for DeepConvLSTM:
Users that are interested in DeepConvLSTM are comparing it to the libraries listed below
- Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type …☆318Updated 2 years ago
- ☆40Updated 7 years ago
- AROMA: A Deep Multi-Task Learning Based Simple and Complex Human Activity Recognition Method Using Wearable Sensors☆29Updated 6 years ago
- Convolutional Neural Network for Human Activity Recognition in Tensorflow☆474Updated 2 years ago
- Deepsense: a unified deep learning framework for time-series mobile sensing data processing.☆197Updated 5 years ago
- MATLAB Human Activity Recognition Toolbox☆56Updated last month
- Encoding human activity by considering salient sensors and time points.☆40Updated 2 years ago
- A sample code of data augmentation methods for wearable sensor data (time-series data)☆402Updated 4 years ago
- Use a LSTM network to predict human activities from sensor signals collected from a smartphone☆49Updated 2 years ago
- Deep convolutional neural network for human activity recognition☆22Updated 7 years ago
- Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification☆141Updated 6 years ago
- iPython notebook and Android app that shows how to build LSTM model in TensorFlow and deploy it on Android☆194Updated 4 years ago
- Jupyter Notebook for Human Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras☆160Updated 2 years ago
- LSTM-CNN model for Human Activity Recognition☆23Updated 6 years ago
- A tensorflow implementation of GAN ( exactly InfoGAN or Info GAN ) to one dimensional ( 1D ) time series data.☆297Updated last year
- DeepConvLSTM implemented in python 3 and pytorch☆26Updated 3 years ago
- This repository provides the codes and data used in our paper "Human Activity Recognition Based on Wearable Sensor Data: A Standardizatio…☆100Updated 5 years ago
- ☆18Updated 3 years ago
- Code repository for experiments on deep architecture for HAR in ubicomp☆23Updated 7 years ago
- deadskull7 / Human-Activity-Recognition-with-Neural-Network-using-Gyroscopic-and-Accelerometer-variablesThe VALIDATION ACCURACY is BEST on KAGGLE. Artificial Neural Network with a validation accuracy of 97.98 % and a precision of 95% was ach…☆84Updated 6 years ago
- Convolutional and LSTM networks to classify human activity☆459Updated 6 years ago
- Classifying the physical activities performed by a user based on accelerometer and gyroscope sensor data collected by a smartphone in the…☆96Updated 7 years ago
- Code for data processing used for the experiment in paper "Deepsense: a unified deep learning framework for time-series mobile sensing da…☆29Updated 7 years ago
- Human activity recognition using hidden Markov model.☆10Updated 7 years ago
- DeepConvLSTM model for sensor-based human activity recognition in Pytorch☆39Updated 5 years ago
- ☆36Updated 8 years ago
- Comparison of frequently used deep learning architectures (LSTM, biLSTM, GRU and CNN) on ten Human Activity Recognition datasets.☆17Updated last year
- An LSTM for time-series classification☆411Updated 7 years ago
- Multi channel deep convolutional neural network for time series classification☆54Updated 8 years ago
- A repository for unified analysis of accelerometer-based human activity recognition.☆36Updated 2 years ago