AdelaideAuto-IDLab / Attend-And-Discriminate
Attend and Discriminate: Beyond the State-of-the-Art for Human Activity Recognition Using Wearable Sensors
☆23Updated 4 years ago
Alternatives and similar repositories for Attend-And-Discriminate:
Users that are interested in Attend-And-Discriminate are comparing it to the libraries listed below
- DeepConvLSTM implemented in python 3 and pytorch☆24Updated 3 years ago
- Contrastive Learning (SimCLR) for Human Activity Recognition☆73Updated 3 years ago
- Improving Human Activity Recognition through Self-training with Unlabeled Data☆39Updated 3 years ago
- ☆8Updated 6 years ago
- Code for our AAAI-2021 paper "Latent Independent Excitation for Generalizable Sensor-based Cross-Person Activity Recognition".☆37Updated 3 years ago
- DANA: Dimension-Adaptive Neural Architecture (UbiComp'21)( ACM IMWUT)☆46Updated 3 years ago
- Encoding human activity by considering salient sensors and time points.☆40Updated last year
- [ECAI 2020] Tensorflow 2.x Implementation of "Human Activity Recognition from Wearable Sensor Data Using Self-Attention"☆48Updated 3 years ago
- The official implementation of paper "Towards a Dynamic Framework for Multi-Sensor-Based Wearable Human Activity Recognition". Accepted b…☆23Updated 2 years ago
- Code for the paper "Attention-Based Deep Learning Framework for Human Activity Recognition with User Adaptation", Buffelli D., Vandin F.,…☆18Updated 3 years ago
- ☆59Updated 2 years ago
- DeepConvLSTM model for sensor-based human activity recognition in Pytorch☆39Updated 5 years ago
- ☆11Updated 2 years ago
- The layer-wise training convolutional neural networks using local loss for sensor based human activity recognition☆20Updated 4 years ago
- Implementation of Contrastive Predictive Coding for Human Activity Recognition☆28Updated 2 years ago
- An up-to-date & curated list of Awesome Human Activity Recognition(Ubiquitous Computing) papers, methods & resources.☆28Updated 4 years ago
- COCOA: Cross Modality Contrastive Learning for Sensor Data☆24Updated 2 years ago
- Official GitHub page of the best-paper award publication "Improving Deep Learning for HAR with shallow LSTMs" presented at the Internatio…☆50Updated 3 months 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
- ☆14Updated 2 years ago
- [PAKDD-2021] Hierarchical Self Attention Based Autoencoder for Open-Set Human Activity Recognition☆17Updated last year
- Ensembles of Deep LSTM Learners for Human Activity Recognition using Wearables in Pytorch☆13Updated 5 years ago
- Official implementation of SWL-Adapt.☆14Updated last year
- Transformer for Human Activity Recognition☆65Updated 2 years ago
- CAPTURE-24: Human activity recognition with activity trackers☆27Updated 3 months ago
- 3-layer-CNN and ResNet with OPPORTUNITY dataset, PAMAP2 dataset, UCI-HAR dataset, UniMiB-SHAR dataset, USC-HAD dataset, and WISDM dataset…☆51Updated 2 years ago
- sourcecode for IMWUT 2017 paper "Ensembles of Deep LSTM Learners for Activity Recognition using Wearables" (Guan, Ploetz)☆17Updated 6 years ago
- Keras implementation of CNN, DeepConvLSTM, and SDAE and LightGBM for sensor-based Human Activity Recognition (HAR).☆63Updated 2 years ago
- Comparison of frequently used deep learning architectures (LSTM, biLSTM, GRU and CNN) on ten Human Activity Recognition datasets.☆17Updated last year
- A repository for unified analysis of accelerometer-based human activity recognition.☆35Updated 2 years ago