zhangzhao156 / CNN-for-HAR-on-WISDM-DatasetLinks
CNN, LSTM, CNN+LSTM for human activity recongnition on WISDM dataset(smartphone dataset)
☆20Updated 6 years ago
Alternatives and similar repositories for CNN-for-HAR-on-WISDM-Dataset
Users that are interested in CNN-for-HAR-on-WISDM-Dataset are comparing it to the libraries listed below
Sorting:
- LSTM-CNN model for Human Activity Recognition☆23Updated 7 years ago
- Transformer for Human Activity Recognition☆74Updated 2 years ago
- Multimodal human activity recognition using wrist-worn wearable sensors.☆48Updated 5 years ago
- ☆41Updated 7 years ago
- Contrastive Learning (SimCLR) for Human Activity Recognition☆78Updated 4 years ago
- Encoding human activity by considering salient sensors and time points.☆41Updated 2 years ago
- Keras implementation of CNN, DeepConvLSTM, and SDAE and LightGBM for sensor-based Human Activity Recognition (HAR).☆69Updated 2 years ago
- [ECAI 2020] Tensorflow 2.x Implementation of "Human Activity Recognition from Wearable Sensor Data Using Self-Attention"☆48Updated 4 years ago
- An implementation of the CNN-LSTM model for Classifying Time Series Human Activities☆25Updated 4 years ago
- Improving Human Activity Recognition through Self-training with Unlabeled Data☆42Updated 4 years ago
- Comparison of frequently used deep learning architectures (LSTM, biLSTM, GRU and CNN) on ten Human Activity Recognition datasets.☆17Updated 2 years ago
- This repository provides the codes and data used in our paper "Human Activity Recognition Based on Wearable Sensor Data: A Standardizatio…☆102Updated 5 years ago
- Simple 1D CNN approach to human-activity-recognition (HAR) in PyTorch.☆60Updated 6 years ago
- Code for our IJCAI 2019 paper "A Novel Distribution-Embedded Neural Network for Sensor-Based Activity Recognition".☆17Updated 5 years ago
- Human activity recognition(LSTM, BidLSTM, BidLSTM+CNN, LSTM+CNN)☆16Updated 7 years ago
- DeepConvLSTM implemented in python 3 and pytorch☆27Updated 3 years ago
- Part of the datasets of the article " Robust Gait Recognition by Integrating Inertial and RGBD Sensors"☆9Updated 7 years ago
- Attend and Discriminate: Beyond the State-of-the-Art for Human Activity Recognition Using Wearable Sensors☆23Updated 4 years ago
- DeepConvLSTM model for sensor-based human activity recognition in Pytorch☆40Updated 6 years ago
- AROMA: A Deep Multi-Task Learning Based Simple and Complex Human Activity Recognition Method Using Wearable Sensors☆29Updated 7 years ago
- Human activity recognition, is a challenging time series classification task. It involves predicting the movement of a person based on se…☆84Updated 4 years ago
- Classifying the physical activities performed by a user based on accelerometer and gyroscope sensor data collected by a smartphone in the…☆97Updated 8 years ago
- Code for HAR-GCNN: Deep Graph CNNs for Human Activity Recognition From Highly Unlabeled Mobile Sensor Data, IEEE PerCom CoMoRea 2022☆13Updated 3 years ago
- An up-to-date & curated list of Awesome IMU-based Human Activity Recognition(Ubiquitous Computing) papers, methods & resources. Please no…☆310Updated 8 months ago
- Source code for the Gait Recognition using LSTM, presented in the paper "Multi-model Long Short-term Memory Network for Gait Recognition …☆17Updated 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…☆57Updated 3 years ago
- Human Activity Recognition Transformer (HART) is a transformer based architecture that has been specifically adapted for IMU sensing devi…☆66Updated 7 months ago
- ☆8Updated 5 years ago
- The layer-wise training convolutional neural networks using local loss for sensor based human activity recognition☆21Updated 5 years ago
- This repository provides the codes and data used in our paper "DanHAR: Dual Attention Network For Multimodal Human Activity Recognition U…☆16Updated 3 years ago