Hangwei12358 / IJCAI2019_DDNNLinks
Code for our IJCAI 2019 paper "A Novel Distribution-Embedded Neural Network for Sensor-Based Activity Recognition".
☆17Updated 5 years ago
Alternatives and similar repositories for IJCAI2019_DDNN
Users that are interested in IJCAI2019_DDNN are comparing it to the libraries listed below
Sorting:
- Keras implementation of CNN, DeepConvLSTM, and SDAE and LightGBM for sensor-based Human Activity Recognition (HAR).☆70Updated 2 years ago
- Improving Human Activity Recognition through Self-training with Unlabeled Data☆42Updated 4 years ago
- 3-layer-CNN and ResNet with OPPORTUNITY dataset, PAMAP2 dataset, UCI-HAR dataset, UniMiB-SHAR dataset, USC-HAD dataset, and WISDM dataset…☆58Updated 3 years ago
- DeepConvLSTM implemented in python 3 and pytorch☆27Updated 4 years ago
- DANA: Dimension-Adaptive Neural Architecture (UbiComp'21)( ACM IMWUT)☆47Updated 4 years ago
- Contrastive Learning (SimCLR) for Human Activity Recognition☆79Updated 4 years ago
- Comparison of frequently used deep learning architectures (LSTM, biLSTM, GRU and CNN) on ten Human Activity Recognition datasets.☆18Updated 2 years ago
- Simple 1D CNN approach to human-activity-recognition (HAR) in PyTorch.☆60Updated 6 years ago
- DeepConvLSTM model for sensor-based human activity recognition in Pytorch☆40Updated 6 years ago
- Multimodal human activity recognition using wrist-worn wearable sensors.☆48Updated 5 years ago
- 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
- Encoding human activity by considering salient sensors and time points.☆42Updated 2 years ago
- Use a LSTM network to predict human activities from sensor signals collected from a smartphone☆52Updated 3 years ago
- Transformer for Human Activity Recognition☆76Updated 2 years ago
- ☆11Updated 3 years ago
- AROMA: A Deep Multi-Task Learning Based Simple and Complex Human Activity Recognition Method Using Wearable Sensors☆29Updated 7 years ago
- Code for AAAI paper "Two-Stream Convolution Augmented Transformer for Human Activity Recognition"☆118Updated 4 years ago
- [ECAI 2020] Tensorflow 2.x Implementation of "Human Activity Recognition from Wearable Sensor Data Using Self-Attention"☆48Updated 4 years ago
- Human Activity Recognition Transformer (HART) is a transformer based architecture that has been specifically adapted for IMU sensing devi…☆70Updated 10 months ago
- Code for our AAAI-2021 paper "Latent Independent Excitation for Generalizable Sensor-based Cross-Person Activity Recognition".☆40Updated 4 years ago
- ☆41Updated 8 years ago
- LSTM-CNN model for Human Activity Recognition☆23Updated 7 years ago
- CNN, LSTM, CNN+LSTM for human activity recongnition on WISDM dataset(smartphone dataset)☆20Updated 7 years ago
- The layer-wise training convolutional neural networks using local loss for sensor based human activity recognition☆22Updated 5 years ago
- This is the project of "If-ConvTransformer: A Framework for Human Activity Recognition Using IMU Fusion and ConvTransformer"☆43Updated 6 months ago
- STFNets: Learning Sensing Signals from the Time-Frequency Perspective with Short-Time Fourier Neural Networks☆48Updated 6 years ago
- Code for data processing used for the experiment in paper "Deepsense: a unified deep learning framework for time-series mobile sensing da…☆29Updated 8 years ago
- Improving Deep Learning for HAR with shallow LSTMs (best paper award), Bock et al., presented at ISWC 2021 (online)☆60Updated 7 months ago
- An up-to-date & curated list of Awesome IMU-based Human Activity Recognition(Ubiquitous Computing) papers, methods & resources. Please no…☆319Updated 11 months ago
- Classifying the physical activities performed by a user based on accelerometer and gyroscope sensor data collected by a smartphone in the…☆98Updated 8 years ago