jianboyang / CNNHAR
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
- AROMA: A Deep Multi-Task Learning Based Simple and Complex Human Activity Recognition Method Using Wearable Sensors☆28Updated 6 years ago
- ☆40Updated 7 years ago
- Deep learning framework for wearable activity recognition based on convolutional and LSTM recurretn layers☆271Updated 6 years ago
- MATLAB Human Activity Recognition Toolbox☆56Updated 6 years ago
- Human activity recognition(LSTM, BidLSTM, BidLSTM+CNN, LSTM+CNN)☆15Updated 6 years ago
- Human activity recognition using hidden Markov model.☆10Updated 7 years ago
- Action recognition using skeleton information based on HMM model☆36Updated 11 years ago
- DeepConvLSTM model for sensor-based human activity recognition in Pytorch☆39Updated 5 years ago
- Code repository for experiments on deep architecture for HAR in ubicomp☆23Updated 7 years ago
- sourcecode for IMWUT 2017 paper "Ensembles of Deep LSTM Learners for Activity Recognition using Wearables" (Guan, Ploetz)☆17Updated 6 years ago
- LSTM-CNN model for Human Activity Recognition☆23Updated 6 years ago
- Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type …☆318Updated 2 years ago
- A tutorial for using deep learning for activity recognition (Pytorch and Tensorflow)☆225Updated 3 years ago
- Encoding human activity by considering salient sensors and time points.☆40Updated last year
- ☆45Updated 5 years ago
- Ensembles of Deep LSTM Learners for Human Activity Recognition using Wearables in Pytorch☆13Updated 5 years ago
- Video classification using the UCF101 dataset for action recognition. We extract SIFT, MFCC and STIP features from the videos, we encode …☆28Updated 4 years ago
- Use a LSTM network to predict human activities from sensor signals collected from a smartphone☆49Updated 2 years ago
- ☆8Updated 6 years ago
- Attend and Discriminate: Beyond the State-of-the-Art for Human Activity Recognition Using Wearable Sensors☆23Updated 3 years ago
- DeepConvLSTM implemented in python 3 and pytorch☆24Updated 3 years ago
- ☆36Updated 7 years ago
- Code for HAR-GCNN: Deep Graph CNNs for Human Activity Recognition From Highly Unlabeled Mobile Sensor Data, IEEE PerCom CoMoRea 2022☆13Updated 2 years ago
- 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
- part-aware lstm implemented in tensorflow used in skeleton-based action recognition with dataset NTU RGB+D.☆48Updated 5 years ago
- Comparison of frequently used deep learning architectures (LSTM, biLSTM, GRU and CNN) on ten Human Activity Recognition datasets.☆17Updated last year
- Simple 1D CNN approach to human-activity-recognition (HAR) in PyTorch.☆56Updated 5 years ago
- Multimodal Gesture Recognition Using 3D Convolution and Convolutional LSTM☆92Updated 6 years ago
- Work in progress about activity recognition/prediction using wearable sensors information☆16Updated 4 years ago
- Gesture Recognition by Instantaneous Surface EMG Images☆43Updated 6 years ago