jianboyang / CNNHAR

Related projects: ⓘ

• andreas-bulling / ActRecTut
  MATLAB Human Activity Recognition Toolbox
  ☆56Updated 6 years ago
• Koutoulakis / Deep-Learning-for-Human-Activity-Recognition
  ☆42Updated 7 years ago
• drewanye / har-joint-model
  AROMA: A Deep Multi-Task Learning Based Simple and Complex Human Activity Recognition Method Using Wearable Sensors
  ☆27Updated 6 years ago
• drbinliang / HMM-Action-Recognition
  Action recognition using skeleton information based on HMM model
  ☆36Updated 10 years ago
• STRCWearlab / DeepConvLSTM
  Deep learning framework for wearable activity recognition based on convolutional and LSTM recurretn layers
  ☆269Updated 6 years ago
• jindongwang / Deep-learning-activity-recognition
  A tutorial for using deep learning for activity recognition (Pytorch and Tensorflow)
  ☆224Updated 2 years ago
• tploetz / LSTMEnsemble4HAR
  sourcecode for IMWUT 2017 paper "Ensembles of Deep LSTM Learners for Activity Recognition using Wearables" (Guan, Ploetz)
  ☆18Updated 5 years ago
• flian2 / human-activity-recognition-hmm
  Human activity recognition using hidden Markov model.
  ☆10Updated 6 years ago
• guillaume-chevalier / HAR-stacked-residual-bidir-LSTMs
  Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type …
  ☆318Updated last year
• JaggerYoung / LRCN-for-Activity-Recognition
  ☆45Updated 5 years ago
• nhammerla / deepHAR
  Code repository for experiments on deep architecture for HAR in ubicomp
  ☆23Updated 7 years ago
• garythung / torch-lrcn
  An implementation of the LRCN in Torch
  ☆94Updated 7 years ago
• Cassie07 / Using-neural-network-for-HAR
  Human activity recognition(LSTM, BidLSTM, BidLSTM+CNN, LSTM+CNN)
  ☆14Updated 6 years ago
• TaeSoo-Kim / TCNActionRecognition
  Skeleton based action recognition models with TCN variants for learning interpretable representation.
  ☆122Updated 6 years ago
• lingjuanlv / LSTM-CNN-model-for-HAR
  LSTM-CNN model for Human Activity Recognition
  ☆23Updated 6 years ago
• isukrit / encodingHumanActivity
  Encoding human activity by considering salient sensors and time points.
  ☆40Updated last year
• GuangmingZhu / Conv3D_CLSTM
  Multimodal Gesture Recognition Using 3D Convolution and Convolutional LSTM
  ☆91Updated 5 years ago
• pengxj / MatAction
  traditional iDT+Fisher vector action recognition framework
  ☆8Updated 7 years ago
• rort1989 / HDM
  Hierarchical dynamic model for skeleton based action recognition
  ☆13Updated 5 years ago
• dspanah / Sensor-Based-Human-Activity-Recognition-LSTMsEnsemble-Pytorch
  Ensembles of Deep LSTM Learners for Human Activity Recognition using Wearables in Pytorch
  ☆13Updated 5 years ago
• njtwomey / har_datasets
  A repository for unified analysis of accelerometer-based human activity recognition.
  ☆33Updated last year
• zibeu / Independently-Recurrent-Neural-Network---IndRNN
  Independently Recurrent Neural Network - IndRNN using "NTU RGB+D" Action Recognition Dataset
  ☆10Updated 5 years ago
• sibosutd / cnn-timeseries
  Use CNN to classify time series data for activity recognition
  ☆26Updated 8 years ago
• FesianXu / PLSTM
  part-aware lstm implemented in tensorflow used in skeleton-based action recognition with dataset NTU RGB+D.
  ☆48Updated 4 years ago
• colincsl / TemporalConvolutionalNetworks
  ☆285Updated 7 years ago
• yscacaca / HHAR-Data-Process
  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
• kinect59 / Spatio-Temporal-LSTM
  Spatio-Temporal LSTM with Trust Gates for 3D Human Action Recognition
  ☆39Updated 6 years ago
• dspanah / Sensor-Based-Human-Activity-Recognition-DeepConvLSTM-Pytorch
  DeepConvLSTM model for sensor-based human activity recognition in Pytorch
  ☆39Updated 5 years ago
• esansano / dl-for-har-comparison
  Comparison of frequently used deep learning architectures (LSTM, biLSTM, GRU and CNN) on ten Human Activity Recognition datasets.
  ☆17Updated last year
• fandulu / Keras-for-Co-occurrence-Feature-Learning-from-Skeleton-Data-for-Action-Recognition
  Keras implementation for Co-occurrence-Feature-Learning-from-Skeleton-Data-for-Action-Recognition
  ☆46Updated 5 years ago