Koutoulakis / Deep-Learning-for-Human-Activity-RecognitionLinks
☆40Updated 7 years ago
Alternatives and similar repositories for Deep-Learning-for-Human-Activity-Recognition
Users that are interested in Deep-Learning-for-Human-Activity-Recognition are comparing it to the libraries listed below
Sorting:
- LSTM-CNN model for Human Activity Recognition☆23Updated 7 years ago
- Comparison of frequently used deep learning architectures (LSTM, biLSTM, GRU and CNN) on ten Human Activity Recognition datasets.☆17Updated last year
- DeepConvLSTM model for sensor-based human activity recognition in Pytorch☆39Updated 6 years ago
- AROMA: A Deep Multi-Task Learning Based Simple and Complex Human Activity Recognition Method Using Wearable Sensors☆29Updated 7 years ago
- Classifying the physical activities performed by a user based on accelerometer and gyroscope sensor data collected by a smartphone in the…☆96Updated 8 years ago
- Ensembles of Deep LSTM Learners for Human Activity Recognition using Wearables in Pytorch☆13Updated 6 years ago
- Keras implementation of CNN, DeepConvLSTM, and SDAE and LightGBM for sensor-based Human Activity Recognition (HAR).☆67Updated 2 years ago
- sourcecode for IMWUT 2017 paper "Ensembles of Deep LSTM Learners for Activity Recognition using Wearables" (Guan, Ploetz)☆18Updated 6 years ago
- Human activity recognition(LSTM, BidLSTM, BidLSTM+CNN, LSTM+CNN)☆16Updated 7 years ago
- DeepConvLSTM implemented in python 3 and pytorch☆26Updated 3 years ago
- Encoding human activity by considering salient sensors and time points.☆40Updated 2 years ago
- [ECAI 2020] Tensorflow 2.x Implementation of "Human Activity Recognition from Wearable Sensor Data Using Self-Attention"☆48Updated 4 years ago
- Improving Human Activity Recognition through Self-training with Unlabeled Data☆42Updated 3 years ago
- CNN, LSTM, CNN+LSTM for human activity recongnition on WISDM dataset(smartphone dataset)☆20Updated 6 years ago
- A tutorial for using deep learning for activity recognition (Pytorch and Tensorflow)☆228Updated 3 years ago
- This repository provides the codes and data used in our paper "Human Activity Recognition Based on Wearable Sensor Data: A Standardizatio…☆103Updated 5 years ago
- Attend and Discriminate: Beyond the State-of-the-Art for Human Activity Recognition Using Wearable Sensors☆23Updated 4 years ago
- The layer-wise training convolutional neural networks using local loss for sensor based human activity recognition☆21Updated 5 years ago
- Use a LSTM network to predict human activities from sensor signals collected from a smartphone☆50Updated 2 years ago
- Code for HAR-GCNN: Deep Graph CNNs for Human Activity Recognition From Highly Unlabeled Mobile Sensor Data, IEEE PerCom CoMoRea 2022☆13Updated 3 years ago
- Transformer for Human Activity Recognition☆71Updated 2 years ago
- ☆36Updated 8 years ago
- Deep learning framework for wearable activity recognition based on convolutional and LSTM recurretn layers☆277Updated 7 years ago
- Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type …☆317Updated 2 years ago
- Simple 1D CNN approach to human-activity-recognition (HAR) in PyTorch.☆58Updated 6 years ago
- Code for our IJCAI 2019 paper "A Novel Distribution-Embedded Neural Network for Sensor-Based Activity Recognition".☆16Updated 5 years ago
- ☆9Updated 6 years ago
- ☆8Updated 5 years ago
- DANA: Dimension-Adaptive Neural Architecture (UbiComp'21)( ACM IMWUT)☆45Updated 3 years ago
- Multimodal human activity recognition using wrist-worn wearable sensors.☆48Updated 4 years ago