godwenbin / DanHARLinks
This repository provides the codes and data used in our paper "DanHAR: Dual Attention Network For Multimodal Human Activity Recognition Using Wearable Sensors".
☆16Updated 3 years ago
Alternatives and similar repositories for DanHAR
Users that are interested in DanHAR are comparing it to the libraries listed below
Sorting:
- [ECAI 2020] Tensorflow 2.x Implementation of "Human Activity Recognition from Wearable Sensor Data Using Self-Attention"☆49Updated 4 years ago
- 3-layer-CNN and ResNet with OPPORTUNITY dataset, PAMAP2 dataset, UCI-HAR dataset, UniMiB-SHAR dataset, USC-HAD dataset, and WISDM dataset…☆58Updated 3 years ago
- Simple 1D CNN approach to human-activity-recognition (HAR) in PyTorch.☆60Updated 6 years ago
- Transformer for Human Activity Recognition☆76Updated 2 years ago
- [IEEE JBHI 2021] The convolutional neural networks training with Channel-Selectivity for human activity recognition based on sensors☆15Updated 4 years ago
- [TPAMI 2023] Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification☆166Updated last year
- ☆88Updated 2 years ago
- [PAKDD-2021] Hierarchical Self Attention Based Autoencoder for Open-Set Human Activity Recognition☆17Updated 2 years ago
- An implementation of the CNN-LSTM model for Classifying Time Series Human Activities☆25Updated 5 years ago
- [TKDD 2023] AdaTime: A Benchmarking Suite for Domain Adaptation on Time Series Data☆220Updated 2 years ago
- Contrastive Learning (SimCLR) for Human Activity Recognition☆79Updated 4 years ago
- ☆65Updated 2 years ago
- Encoding human activity by considering salient sensors and time points.☆42Updated 2 years ago
- The layer-wise training convolutional neural networks using local loss for sensor based human activity recognition☆23Updated 5 years ago
- Code for our IJCAI 2019 paper "A Novel Distribution-Embedded Neural Network for Sensor-Based Activity Recognition".☆17Updated 5 years ago
- Code for our AAAI-2021 paper "Latent Independent Excitation for Generalizable Sensor-based Cross-Person Activity Recognition".☆41Updated 4 years ago
- ☆25Updated 3 years ago
- DeepConvLSTM model for sensor-based human activity recognition in Pytorch☆40Updated 6 years ago
- Attend and Discriminate: Beyond the State-of-the-Art for Human Activity Recognition Using Wearable Sensors☆23Updated 4 years ago
- Implementation of Contrastive Predictive Coding for Human Activity Recognition☆30Updated 3 years ago
- Fuzzy Deep Neural Network.☆61Updated 2 years ago
- Improving Human Activity Recognition through Self-training with Unlabeled Data☆43Updated 4 years ago
- Improving Deep Learning for HAR with shallow LSTMs (best paper award), Bock et al., presented at ISWC 2021 (online)☆61Updated 7 months ago
- Ensembles of Deep LSTM Learners for Human Activity Recognition using Wearables in Pytorch☆14Updated 6 years ago
- Multimodal human activity recognition using wrist-worn wearable sensors.☆47Updated 5 years ago
- DeepConvLSTM implemented in python 3 and pytorch☆27Updated 4 years ago
- ☆10Updated 2 years ago
- Comparison of frequently used deep learning architectures (LSTM, biLSTM, GRU and CNN) on ten Human Activity Recognition datasets.☆18Updated 2 years ago
- 基于一维卷积神经网络(1D-CNN)的多元时间序列分类☆80Updated 5 years ago
- ☆38Updated last year