STRCWearlab / DeepConvLSTM
Deep learning framework for wearable activity recognition based on convolutional and LSTM recurretn layers
☆271Updated 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
- Convolutional Neural Network for Human Activity Recognition in Tensorflow☆472Updated 2 years ago
- AROMA: A Deep Multi-Task Learning Based Simple and Complex Human Activity Recognition Method Using Wearable Sensors☆28Updated 6 years ago
- MATLAB Human Activity Recognition Toolbox☆56Updated 6 years ago
- Deepsense: a unified deep learning framework for time-series mobile sensing data processing.☆196Updated 5 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
- ☆40Updated 7 years ago
- Encoding human activity by considering salient sensors and time points.☆40Updated last year
- Use a LSTM network to predict human activities from sensor signals collected from a smartphone☆48Updated 2 years ago
- iPython notebook and Android app that shows how to build LSTM model in TensorFlow and deploy it on Android☆193Updated 4 years ago
- Convolutional and LSTM networks to classify human activity☆457Updated 5 years ago
- A repository for unified analysis of accelerometer-based human activity recognition.☆35Updated last year
- Deep convolutional neural network for human activity recognition☆22Updated 7 years ago
- Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification☆139Updated 5 years ago
- A sample code of data augmentation methods for wearable sensor data (time-series data)☆397Updated 4 years ago
- A tutorial for using deep learning for activity recognition (Pytorch and Tensorflow)☆225Updated 3 years ago
- An LSTM for time-series classification☆409Updated 7 years ago
- ☆18Updated 3 years ago
- Jupyter Notebook for Human Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras☆160Updated last year
- Classifying the physical activities performed by a user based on accelerometer and gyroscope sensor data collected by a smartphone in the…☆95Updated 7 years ago
- DeepConvLSTM implemented in python 3 and pytorch☆24Updated 3 years ago
- A tensorflow implementation of GAN ( exactly InfoGAN or Info GAN ) to one dimensional ( 1D ) time series data.☆295Updated 10 months ago
- DeepConvLSTM model for sensor-based human activity recognition in Pytorch☆39Updated 5 years ago
- Human activity recognition using hidden Markov model.☆10Updated 7 years ago
- Code repository for experiments on deep architecture for HAR in ubicomp☆23Updated 7 years ago
- Deep Neural Network Ensembles for Time Series Classification☆111Updated last year
- LSTM-CNN model for Human Activity Recognition☆23Updated 6 years ago
- Ensembles of Deep LSTM Learners for Human Activity Recognition using Wearables in Pytorch☆13Updated 5 years ago
- A CNN for time-series classification☆153Updated 7 years ago
- Database for human gait analysis consisting of continues recordings of combined activities, such as walking, running, taking stairs up an…☆91Updated 4 years ago