Tanny1810 / Human-Activity-Recognition-LSTM-CNN
Human Activity Recognition using LSTM-CNN model on raw data set.
☆31Updated last year
Related projects ⓘ
Alternatives and complementary repositories for Human-Activity-Recognition-LSTM-CNN
- This is the project of "If-ConvTransformer: A Framework for Human Activity Recognition Using IMU Fusion and ConvTransformer"☆32Updated last year
- CNN, LSTM, CNN+LSTM for human activity recongnition on WISDM dataset(smartphone dataset)☆20Updated 6 years ago
- The layer-wise training convolutional neural networks using local loss for sensor based human activity recognition☆20Updated 4 years ago
- The official implementation of paper "Spatial-Temporal Masked Autoencoder for Multi-Device Wearable Human Activity Recognition". Accepted…☆8Updated 8 months ago
- [ECAI 2020] Tensorflow 2.x Implementation of "Human Activity Recognition from Wearable Sensor Data Using Self-Attention"☆47Updated 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…☆51Updated 2 years ago
- Human Activity Recognition Transformer (HART) is a transformer based architecture that has been specifically adapted for IMU sensing devi…☆48Updated 2 months ago
- Transformer for Human Activity Recognition☆65Updated last year
- ☆11Updated last year
- [IEEE JBHI 2021] The convolutional neural networks training with Channel-Selectivity for human activity recognition based on sensors☆12Updated 3 years ago
- ☆67Updated last year
- 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…☆50Updated 3 weeks ago
- Code for our IJCAI 2019 paper "A Novel Distribution-Embedded Neural Network for Sensor-Based Activity Recognition".☆17Updated 4 years ago
- DeepConvLSTM model for sensor-based human activity recognition in Pytorch☆38Updated 5 years ago
- Implementation of Contrastive Self-Supervised Learning for Sensor-based Human Activity Recognition☆21Updated 9 months ago
- DeepConvLSTM implemented in python 3 and pytorch☆24Updated 3 years ago
- An up-to-date & curated list of Awesome IMU-based Human Activity Recognition(Ubiquitous Computing) papers, methods & resources. Please no…☆260Updated last month
- The official implementation of paper "Towards a Dynamic Framework for Multi-Sensor-Based Wearable Human Activity Recognition". Accepted b…☆24Updated 2 years ago
- The MHEALTH (Mobile Health) dataset is devised to benchmark techniques dealing with human behavior analysis based on multimodal body sens…☆17Updated 3 years ago
- Comparison of frequently used deep learning architectures (LSTM, biLSTM, GRU and CNN) on ten Human Activity Recognition datasets.☆17Updated last year
- Simple 1D CNN approach to human-activity-recognition (HAR) in PyTorch.☆55Updated 5 years ago
- Intertial-based Human Activity Recognition with Transformers☆64Updated 3 years ago
- ☆8Updated 5 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
- Contrastive Learning (SimCLR) for Human Activity Recognition☆70Updated 3 years ago
- ☆8Updated 4 years ago
- Source code for the Gait Recognition using LSTM, presented in the paper "Multi-model Long Short-term Memory Network for Gait Recognition …☆15Updated 2 years ago
- ☆10Updated 2 years ago
- LSTM-CNN model for Human Activity Recognition☆23Updated 6 years ago