jianboyang / CNNHARLinks
Deep convolutional neural network for human activity recognition
☆22Updated 7 years ago
Alternatives and similar repositories for CNNHAR
Users that are interested in CNNHAR are comparing it to the libraries listed below
Sorting:
- A tutorial for using deep learning for activity recognition (Pytorch and Tensorflow)☆231Updated 4 years ago
- Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type …☆321Updated 2 years ago
- Deep learning framework for wearable activity recognition based on convolutional and LSTM recurretn layers☆282Updated 7 years ago
- ☆41Updated 8 years ago
- ☆295Updated 8 years ago
- Action recognition using skeleton information based on HMM model☆36Updated 11 years ago
- sourcecode for IMWUT 2017 paper "Ensembles of Deep LSTM Learners for Activity Recognition using Wearables" (Guan, Ploetz)☆18Updated 7 years ago
- Video lstm auto encoder built with pytorch. https://arxiv.org/pdf/1502.04681.pdf☆40Updated 7 years ago
- "Attention in Convolutional LSTM for Gesture Recognition" in NIPS 2018☆223Updated 5 years ago
- Temporal Segments LSTM and Temporal-Inception for Activity Recognition☆445Updated 5 years ago
- ☆45Updated 6 years ago
- DeepConvLSTM model for sensor-based human activity recognition in Pytorch☆40Updated 6 years ago
- iPython notebook and Android app that shows how to build LSTM model in TensorFlow and deploy it on Android☆195Updated 4 years ago
- AROMA: A Deep Multi-Task Learning Based Simple and Complex Human Activity Recognition Method Using Wearable Sensors☆29Updated 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 8 years ago
- Two-stream CNNs for video action recognition implemented in Keras☆123Updated 6 years ago
- Encoding human activity by considering salient sensors and time points.☆42Updated 2 years ago
- Skeleton based action recognition models with TCN variants for learning interpretable representation.☆123Updated 7 years ago
- A public Python implementation for generating Dynamic Images introduced in 'Dynamic Image Networks for Action Recognition' by Bilen et a…☆39Updated 5 years ago
- This repository provides the codes and data used in our paper "Human Activity Recognition Based on Wearable Sensor Data: A Standardizatio…☆104Updated 6 years ago
- Video Action Classification Using Spatial Temporal Clues. Original paper: arXiv:1504.01561☆23Updated 7 years ago
- Deep learning and LSTM approaches for human activity recognition☆36Updated 2 years ago
- part-aware lstm implemented in tensorflow used in skeleton-based action recognition with dataset NTU RGB+D.☆49Updated 5 years ago
- Action Recognition in Video Sequences using Deep Bi-directional LSTM with CNN Features☆46Updated 2 years ago
- Dynamic Image Networks for Action Recognition☆186Updated 7 years ago
- SPATIAL-TEMPORAL DATA AUGMENTATION BASED ON LSTM AUTOENCODER NETWORK FOR SKELETON-BASED HUMAN ACTION RECOGNITION☆22Updated 4 years ago
- Classifying the physical activities performed by a user based on accelerometer and gyroscope sensor data collected by a smartphone in the…☆98Updated 8 years ago
- An implementation of Deep Canonical Correlation Analysis (DCCA or Deep CCA) with Keras.☆248Updated 8 years ago
- Deepsense: a unified deep learning framework for time-series mobile sensing data processing.☆198Updated 6 years ago
- Use a LSTM network to predict human activities from sensor signals collected from a smartphone☆52Updated 3 years ago