zhezh / DeepSense
Deepsense: a unified deep learning framework for time-series mobile sensing data processing.
☆7Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for DeepSense
- ☆8Updated 5 years ago
- Improving Human Activity Recognition through Self-training with Unlabeled Data☆36Updated 3 years ago
- ☆56Updated last year
- Contrastive Learning (SimCLR) for Human Activity Recognition☆69Updated 3 years ago
- Attend and Discriminate: Beyond the State-of-the-Art for Human Activity Recognition Using Wearable Sensors☆22Updated 3 years ago
- (WSDM'24) Cross-modal Self-Supervised Learning for Time-series through Latent Masking☆14Updated 8 months ago
- COCOA: Cross Modality Contrastive Learning for Sensor Data☆24Updated 2 years ago
- Code for our AAAI-2021 paper "Latent Independent Excitation for Generalizable Sensor-based Cross-Person Activity Recognition".☆35Updated 3 years ago
- An up-to-date & curated list of Awesome Human Activity Recognition(Ubiquitous Computing) papers, methods & resources.☆27Updated 3 years ago
- Source code for paper: UniTS: Short-Time Fourier Inspired Neural Networks for Sensory Time Series Classification☆19Updated 2 years ago
- Offering recent HAR papers collection☆25Updated 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 2 years 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
- The layer-wise training convolutional neural networks using local loss for sensor based human activity recognition☆20Updated 4 years ago
- DeepConvLSTM implemented in python 3 and pytorch☆24Updated 3 years ago
- ☆13Updated 2 years ago
- DANA: Dimension-Adaptive Neural Architecture (UbiComp'21)( ACM IMWUT)☆47Updated 3 years ago
- Encoding human activity by considering salient sensors and time points.☆40Updated last year
- Code for our IJCAI 2019 paper "A Novel Distribution-Embedded Neural Network for Sensor-Based Activity Recognition".☆17Updated 4 years ago
- A repository for unified analysis of accelerometer-based human activity recognition.☆33Updated last year
- The official implementation of paper "Towards a Dynamic Framework for Multi-Sensor-Based Wearable Human Activity Recognition". Accepted b…☆24Updated 2 years 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
- (KDD’24) Using Self-Supervised Learning Can Improve Model Fairness.☆12Updated 5 months ago
- DeepConvLSTM model for sensor-based human activity recognition in Pytorch☆38Updated 5 years ago
- The source code and collected data for the Meta-HAR (WWW 2021) paper.☆31Updated 2 years ago
- Official implementation of SWL-Adapt.☆13Updated last year
- Ensembles of Deep LSTM Learners for Human Activity Recognition using Wearables in Pytorch☆13Updated 5 years ago
- ☆8Updated 4 years ago
- Implementation of Contrastive Predictive Coding for Human Activity Recognition☆25Updated 2 years ago
- [IEEE JBHI 2021] The convolutional neural networks training with Channel-Selectivity for human activity recognition based on sensors☆12Updated 3 years ago