Jie-su / Awesome_Human_Activity_Recognition
An up-to-date & curated list of Awesome Human Activity Recognition(Ubiquitous Computing) papers, methods & resources.
☆25Updated 3 years ago
Related projects: ⓘ
- Attend and Discriminate: Beyond the State-of-the-Art for Human Activity Recognition Using Wearable Sensors☆22Updated 3 years ago
- Code for our AAAI-2021 paper "Latent Independent Excitation for Generalizable Sensor-based Cross-Person Activity Recognition".☆33Updated 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…☆50Updated 2 years ago
- Implementation of Contrastive Predictive Coding for Human Activity Recognition☆25Updated 2 years ago
- ☆8Updated 5 years ago
- Contrastive Learning (SimCLR) for Human Activity Recognition☆69Updated 3 years ago
- ☆53Updated last year
- DeepConvLSTM model for sensor-based human activity recognition in Pytorch☆39Updated 5 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 official implementation of paper "Towards a Dynamic Framework for Multi-Sensor-Based Wearable Human Activity Recognition". Accepted b…☆24Updated last year
- Improving Human Activity Recognition through Self-training with Unlabeled Data☆35Updated 3 years ago
- DeepConvLSTM implemented in python 3 and pytorch☆24Updated 2 years ago
- ☆10Updated last year
- Sensor Data Augmentation by Resampling for Contrastive Learning in Human Activity Recognition☆11Updated last year
- ☆12Updated 2 years ago
- [ECAI 2020] Tensorflow 2.x Implementation of "Human Activity Recognition from Wearable Sensor Data Using Self-Attention"☆46Updated 3 years ago
- DANA: Dimension-Adaptive Neural Architecture (UbiComp'21)( ACM IMWUT)☆46Updated 2 years ago
- Code for our IJCAI 2019 paper "A Novel Distribution-Embedded Neural Network for Sensor-Based Activity Recognition".☆17Updated 4 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
- Capture24: Human activity recognition with activity trackers☆19Updated 6 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
- Simple 1D CNN approach to human-activity-recognition (HAR) in PyTorch.☆54Updated 5 years ago
- Implementation of Contrastive Self-Supervised Learning for Sensor-based Human Activity Recognition☆21Updated 7 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
- This repository provides the codes and data used in our paper "DanHAR: Dual Attention Network For Multimodal Human Activity Recognition U…☆15Updated 2 years ago
- Deepsense: a unified deep learning framework for time-series mobile sensing data processing.☆7Updated 5 years ago
- Ensembles of Deep LSTM Learners for Human Activity Recognition using Wearables in Pytorch☆13Updated 5 years ago
- [IEEE JBHI 2021] The convolutional neural networks training with Channel-Selectivity for human activity recognition based on sensors☆11Updated 3 years ago
- ☆12Updated 2 years ago