Tanny1810 / Human-Activity-Recognition-LSTM-CNNLinks
Human Activity Recognition using LSTM-CNN model on raw data set.
☆36Updated 2 years ago
Alternatives and similar repositories for Human-Activity-Recognition-LSTM-CNN
Users that are interested in Human-Activity-Recognition-LSTM-CNN are comparing it to the libraries listed below
Sorting:
- This is the project of "If-ConvTransformer: A Framework for Human Activity Recognition Using IMU Fusion and ConvTransformer"☆43Updated 6 months ago
- The official implementation of paper "Spatial-Temporal Masked Autoencoder for Multi-Device Wearable Human Activity Recognition". Accepted…☆11Updated last year
- ☆86Updated 2 years ago
- [ECAI 2020] Tensorflow 2.x Implementation of "Human Activity Recognition from Wearable Sensor Data Using Self-Attention"☆48Updated 4 years ago
- Transformer for Human Activity Recognition☆76Updated 2 years 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
- CNN, LSTM, CNN+LSTM for human activity recongnition on WISDM dataset(smartphone dataset)☆20Updated 7 years ago
- [IEEE JBHI 2021] The convolutional neural networks training with Channel-Selectivity for human activity recognition based on sensors☆15Updated 4 years ago
- Multimodal human activity recognition using wrist-worn wearable sensors.☆48Updated 5 years ago
- Implementation of Contrastive Self-Supervised Learning for Sensor-based Human Activity Recognition☆26Updated last year
- ☆11Updated 3 years ago
- Code for AAAI paper "Two-Stream Convolution Augmented Transformer for Human Activity Recognition"☆118Updated 4 years ago
- DeepConvLSTM model for sensor-based human activity recognition in Pytorch☆40Updated 6 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
- Human Activity Recognition Transformer (HART) is a transformer based architecture that has been specifically adapted for IMU sensing devi…☆70Updated 10 months ago
- Source code for the Gait Recognition using LSTM, presented in the paper "Multi-model Long Short-term Memory Network for Gait Recognition …☆18Updated 3 years ago
- ☆10Updated 2 years ago
- The layer-wise training convolutional neural networks using local loss for sensor based human activity recognition☆22Updated 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
- ☆12Updated last year
- 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
- Keras implementation of CNN, DeepConvLSTM, and SDAE and LightGBM for sensor-based Human Activity Recognition (HAR).☆70Updated 2 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
- The official implementation of paper "Towards a Dynamic Framework for Multi-Sensor-Based Wearable Human Activity Recognition". Accepted b…☆22Updated 3 years ago
- [PAKDD-2021] Hierarchical Self Attention Based Autoencoder for Open-Set Human Activity Recognition☆17Updated 2 years ago
- Repo for MobiCom 2022 paper: " Cosmo: Contrastive Fusion Learning with Small Data for Multimodal Human Activity Recognition ".☆54Updated 2 years ago
- ☆24Updated 3 years ago
- DeepConvLSTM implemented in python 3 and pytorch☆27Updated 4 years ago
- Intertial-based Human Activity Recognition with Transformers☆86Updated 4 years ago