wdkhuans / DynamicWHAR
The official implementation of paper "Towards a Dynamic Framework for Multi-Sensor-Based Wearable Human Activity Recognition". Accepted by PACM IMWUT / UbiComp 2022.
☆24Updated last year
Related projects: ⓘ
- ☆10Updated last year
- ☆53Updated last year
- Code for our AAAI-2021 paper "Latent Independent Excitation for Generalizable Sensor-based Cross-Person Activity Recognition".☆33Updated 2 years ago
- Implementation of Contrastive Predictive Coding for Human Activity Recognition☆25Updated 2 years ago
- ☆12Updated 2 years ago
- Attend and Discriminate: Beyond the State-of-the-Art for Human Activity Recognition Using Wearable Sensors☆22Updated 3 years ago
- ☆8Updated 5 years ago
- Official implementation of SWL-Adapt.☆13Updated last year
- Contrastive Learning (SimCLR) for Human Activity Recognition☆69Updated 3 years ago
- 3-layer-CNN and ResNet with OPPORTUNITY dataset, PAMAP2 dataset, UCI-HAR dataset, UniMiB-SHAR dataset, USC-HAD dataset, and WISDM dataset…☆50Updated 2 years ago
- DeepConvLSTM implemented in python 3 and pytorch☆24Updated 2 years ago
- ☆12Updated 2 years ago
- An up-to-date & curated list of Awesome Human Activity Recognition(Ubiquitous Computing) papers, methods & resources.☆25Updated 3 years ago
- COCOA: Cross Modality Contrastive Learning for Sensor Data☆23Updated 2 years ago
- Improving Human Activity Recognition through Self-training with Unlabeled Data☆35Updated 3 years ago
- The layer-wise training convolutional neural networks using local loss for sensor based human activity recognition☆18Updated 4 years ago
- [PAKDD-2021] Hierarchical Self Attention Based Autoencoder for Open-Set Human Activity Recognition☆15Updated last year
- The repository provides code implementations and illustrative examples of NeurIPS 2023 paper, Finding Order in Chaos: A Novel Data Augmen…☆27Updated 2 months ago
- Code for the paper "Attention-Based Deep Learning Framework for Human Activity Recognition with User Adaptation", Buffelli D., Vandin F.,…☆15Updated 2 years ago
- Human Activity Recognition Transformer (HART) is a transformer based architecture that has been specifically adapted for IMU sensing devi…☆44Updated 2 weeks ago
- ☆9Updated 2 years ago
- Code for our IJCAI 2019 paper "A Novel Distribution-Embedded Neural Network for Sensor-Based Activity Recognition".☆17Updated 4 years ago
- [IEEE JBHI 2021] The convolutional neural networks training with Channel-Selectivity for human activity recognition based on sensors☆11Updated 3 years ago
- DeepConvLSTM model for sensor-based human activity recognition in Pytorch☆39Updated 5 years ago
- This is the project of "If-ConvTransformer: A Framework for Human Activity Recognition Using IMU Fusion and ConvTransformer"☆29Updated last year
- Implementation of Contrastive Self-Supervised Learning for Sensor-based Human Activity Recognition☆21Updated 7 months ago
- ☆18Updated 6 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
- Official GitHub page of the best-paper award publication "Improving Deep Learning for HAR with shallow LSTMs" presented at the Internatio…☆49Updated last year
- Capture24: Human activity recognition with activity trackers☆19Updated 6 months ago