gauthamkrishna-g / ActiveHARNetLinks
ActiveHARNet: Towards On-Device Deep Bayesian Active Learning for Human Activity Recognition
☆12Updated 5 years ago
Alternatives and similar repositories for ActiveHARNet
Users that are interested in ActiveHARNet are comparing it to the libraries listed below
Sorting:
- DANA: Dimension-Adaptive Neural Architecture (UbiComp'21)( ACM IMWUT)☆47Updated 4 years ago
- Official code for ECG-TCN paper accepted for publication on AICAS2021☆14Updated 4 years ago
- Contrastive Learning (SimCLR) for Human Activity Recognition☆79Updated 4 years ago
- COCOA: Cross Modality Contrastive Learning for Sensor Data☆26Updated 3 years ago
- Deep Learning Approach for UWB Applications (IEEE Journal of Biomedical and Health Informatics)☆27Updated last month
- Improving Human Activity Recognition through Self-training with Unlabeled Data☆42Updated 4 years ago
- [JBHI 2024] Self-supervised pre-training on ECG collected in the wild☆15Updated 2 years ago
- Keras implementation of CNN, DeepConvLSTM, and SDAE and LightGBM for sensor-based Human Activity Recognition (HAR).☆74Updated 2 years ago
- ☆19Updated 2 years ago
- Code for our IJCAI 2019 paper "A Novel Distribution-Embedded Neural Network for Sensor-Based Activity Recognition".☆17Updated 5 years ago
- Transformer for Human Activity Recognition☆77Updated 3 years ago
- Official code for the UAI 2023 paper "BeliefPPG: Uncertainty-aware Heart Rate Estimation from PPG signals via Belief Propagation" and the…☆30Updated last year
- ☆10Updated 5 years ago
- ECG analysis to classify anterior myocardial infarction cases.☆10Updated 8 years ago
- [Nature Communications 2021] Continual learning of AI models on ECG data with CLOPS☆20Updated 3 years ago
- Improving Deep Learning for HAR with shallow LSTMs (best paper award), Bock et al., presented at ISWC 2021 (online)☆63Updated 9 months ago
- Human Activity Recognition Transformer (HART) is a transformer based architecture that has been specifically adapted for IMU sensing devi…☆75Updated last year
- Encoding human activity by considering salient sensors and time points.☆42Updated 2 years ago
- 😴 DeepSleep2 is a compact U-Net-inspired convolutional neural network with 740,551 parameters, designed to predict non-apnea sleep arous…☆21Updated 4 months ago
- (WSDM'24) Cross-modal Self-Supervised Learning for Time-series through Latent Masking☆21Updated last year
- This repository provides the codes and data used in our paper "Human Activity Recognition Based on Wearable Sensor Data: A Standardizatio…☆104Updated 6 years ago
- ☆66Updated 3 years ago
- Applying a hierarchical Deep Learning to sensor stream data collected from smartphones and smartwatches to recognize the activity of user…☆33Updated 5 years ago
- Deep Convolutional Bidirectional LSTM for Complex Activity Recognition with Missing Data. Human Activity Recognition Challenge. Springer …☆23Updated 4 years ago
- Human activity recognition, is a challenging time series classification task. It involves predicting the movement of a person based on se…☆91Updated 5 years ago
- Multimodal human activity recognition using wrist-worn wearable sensors.☆47Updated 5 years ago
- Self-supervised learning for wearables using the UK-Biobank (>700,000 person-days)☆140Updated last year
- 1D Capsule Network for Gesture Recognition in Keras.☆32Updated 2 years ago
- ☆11Updated 7 years ago
- This repository is an artifact for the paper "CNNs for Heart Rate Estimation and Human Activity Recognition in Wrist Worn Sensing Applica…☆15Updated 5 years ago