jenhuluck / Deep-Learning-in-Human-Activity-Recognition-
A research project of applying deep learning models and data fusion algorithms on Human Activity Recognition(HAR)/Activities of Daily Living(ADL) datasets.
☆19Updated 3 years ago
Alternatives and similar repositories for Deep-Learning-in-Human-Activity-Recognition-:
Users that are interested in Deep-Learning-in-Human-Activity-Recognition- are comparing it to the libraries listed below
- Transformer for Human Activity Recognition☆65Updated 2 years ago
- Multimodal human activity recognition using wrist-worn wearable sensors.☆45Updated 4 years ago
- Code for our IJCAI 2019 paper "A Novel Distribution-Embedded Neural Network for Sensor-Based Activity Recognition".☆16Updated 4 years ago
- Human Activity Recognition Transformer (HART) is a transformer based architecture that has been specifically adapted for IMU sensing devi…☆54Updated last month
- 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, is a challenging time series classification task. It involves predicting the movement of a person based on se…☆72Updated 4 years ago
- Encoding human activity by considering salient sensors and time points.☆40Updated last year
- Keras implementation of CNN, DeepConvLSTM, and SDAE and LightGBM for sensor-based Human Activity Recognition (HAR).☆63Updated last year
- DeepConvLSTM model for sensor-based human activity recognition in Pytorch☆39Updated 5 years ago
- [ECAI 2020] Tensorflow 2.x Implementation of "Human Activity Recognition from Wearable Sensor Data Using Self-Attention"☆48Updated 3 years ago
- DeepConvLSTM implemented in python 3 and pytorch☆24Updated 3 years ago
- Contrastive Learning (SimCLR) for Human Activity Recognition☆73Updated 3 years ago
- Human Activity Recognition using LSTM-CNN model on raw data set.☆32Updated 2 years ago
- Deep Convolutional Bidirectional LSTM for Complex Activity Recognition with Missing Data. Human Activity Recognition Challenge. Springer …☆22Updated 3 years ago
- RanaMostafaAbdElMohsen / Human_Activity_Recognition_using_Wearable_Sensors_Review_Challenges_Evaluation_BenchmarkThis github is an implementation for accepted manuscript titled Human Activity Recognition using Wearable Sensors: Review, Challenges, Ev…☆16Updated 3 years ago
- Implementation of Contrastive Self-Supervised Learning for Sensor-based Human Activity Recognition☆21Updated 11 months ago
- Multimodal Dataset of Freezing of Gait in Parkinson's Disease☆44Updated 2 years ago
- This is the project of "If-ConvTransformer: A Framework for Human Activity Recognition Using IMU Fusion and ConvTransformer"☆33Updated last year
- Simple 1D CNN approach to human-activity-recognition (HAR) in PyTorch.☆56Updated 5 years ago
- ☆8Updated 5 years ago
- Improving Human Activity Recognition through Self-training with Unlabeled Data☆38Updated 3 years ago
- The layer-wise training convolutional neural networks using local loss for sensor based human activity recognition☆20Updated 4 years ago
- CNN, LSTM, CNN+LSTM for human activity recongnition on WISDM dataset(smartphone dataset)☆20Updated 6 years ago
- predicts the human activities based on accelerometer and Gyroscope data of Smart phones☆58Updated 3 years ago
- Human activity recognition(LSTM, BidLSTM, BidLSTM+CNN, LSTM+CNN)☆15Updated 6 years ago
- The comparsion methods code☆12Updated 2 years ago
- This repository provides the codes and data used in our paper "DanHAR: Dual Attention Network For Multimodal Human Activity Recognition U…☆16Updated 2 years ago
- An up-to-date & curated list of Awesome Human Activity Recognition(Ubiquitous Computing) papers, methods & resources.☆28Updated 4 years ago
- Data Analysis and Machine Learning on Physical monitoring data☆15Updated 5 years ago
- Human Activity Recognition Using Deep Learning☆48Updated 5 years ago