Tanny1810 / Human-Activity-Recognition-LSTM-CNN
Human Activity Recognition using LSTM-CNN model on raw data set.
☆30Updated last year
Related projects: ⓘ
- CNN, LSTM, CNN+LSTM for human activity recongnition on WISDM dataset(smartphone dataset)☆19Updated 6 years ago
- This is the project of "If-ConvTransformer: A Framework for Human Activity Recognition Using IMU Fusion and ConvTransformer"☆29Updated last year
- 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
- [ECAI 2020] Tensorflow 2.x Implementation of "Human Activity Recognition from Wearable Sensor Data Using Self-Attention"☆46Updated 3 years ago
- The layer-wise training convolutional neural networks using local loss for sensor based human activity recognition☆18Updated 4 years ago
- Code for our IJCAI 2019 paper "A Novel Distribution-Embedded Neural Network for Sensor-Based Activity Recognition".☆17Updated 4 years ago
- Transformer for Human Activity Recognition☆59Updated last year
- [IEEE JBHI 2021] The convolutional neural networks training with Channel-Selectivity for human activity recognition based on sensors☆11Updated 3 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
- 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
- ☆10Updated last year
- ☆63Updated last year
- DeepConvLSTM model for sensor-based human activity recognition in Pytorch☆39Updated 5 years ago
- ☆8Updated 4 years ago
- ☆9Updated 2 years ago
- Implementation of Contrastive Self-Supervised Learning for Sensor-based Human Activity Recognition☆21Updated 7 months ago
- Multimodal human activity recognition using wrist-worn wearable sensors.☆44Updated 4 years ago
- Official GitHub page of the best-paper award publication "Improving Deep Learning for HAR with shallow LSTMs" presented at the Internatio…☆49Updated last year
- Simple 1D CNN approach to human-activity-recognition (HAR) in PyTorch.☆54Updated 5 years ago
- The official implementation of paper "Towards a Dynamic Framework for Multi-Sensor-Based Wearable Human Activity Recognition". Accepted b…☆24Updated last year
- Comparison of frequently used deep learning architectures (LSTM, biLSTM, GRU and CNN) on ten Human Activity Recognition datasets.☆17Updated last year
- Contrastive Learning (SimCLR) for Human Activity Recognition☆69Updated 3 years ago
- DeepConvLSTM implemented in python 3 and pytorch☆24Updated 2 years ago
- ☆8Updated 5 years ago
- Attend and Discriminate: Beyond the State-of-the-Art for Human Activity Recognition Using Wearable Sensors☆22Updated 3 years ago
- Code for AAAI paper "Two-Stream Convolution Augmented Transformer for Human Activity Recognition"☆99Updated 3 years ago
- [PAKDD-2021] Hierarchical Self Attention Based Autoencoder for Open-Set Human Activity Recognition☆15Updated last year
- 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
- DANA: Dimension-Adaptive Neural Architecture (UbiComp'21)( ACM IMWUT)☆46Updated 2 years ago
- Source code for the Gait Recognition using LSTM, presented in the paper "Multi-model Long Short-term Memory Network for Gait Recognition …☆13Updated 2 years ago