RanaMostafaAbdElMohsen / Human_Activity_Recognition_using_Wearable_Sensors_Review_Challenges_Evaluation_Benchmark
This github is an implementation for accepted manuscript titled Human Activity Recognition using Wearable Sensors: Review, Challenges, Evaluation Benchmark.
☆15Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for Human_Activity_Recognition_using_Wearable_Sensors_Review_Challenges_Evaluation_Benchmark
- The layer-wise training convolutional neural networks using local loss for sensor based human activity recognition☆20Updated 4 years ago
- Transformer for Human Activity Recognition☆64Updated last year
- Encoding human activity by considering salient sensors and time points.☆40Updated last year
- Implementation of Contrastive Self-Supervised Learning for Sensor-based Human Activity Recognition☆21Updated 9 months ago
- Contrastive Learning (SimCLR) for Human Activity Recognition☆69Updated 3 years ago
- DeepConvLSTM model for sensor-based human activity recognition in Pytorch☆38Updated 5 years ago
- Multimodal human activity recognition using wrist-worn wearable sensors.☆44Updated 4 years ago
- 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
- DeepConvLSTM implemented in python 3 and pytorch☆24Updated 3 years ago
- Ensembles of Deep LSTM Learners for Human Activity Recognition using Wearables in Pytorch☆13Updated 5 years ago
- DANA: Dimension-Adaptive Neural Architecture (UbiComp'21)( ACM IMWUT)☆47Updated 3 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
- Improving Human Activity Recognition through Self-training with Unlabeled Data☆36Updated 3 years ago
- [ECAI 2020] Tensorflow 2.x Implementation of "Human Activity Recognition from Wearable Sensor Data Using Self-Attention"☆47Updated 3 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
- sourcecode for IMWUT 2017 paper "Ensembles of Deep LSTM Learners for Activity Recognition using Wearables" (Guan, Ploetz)☆17Updated 6 years ago
- Official GitHub page of the best-paper award publication "Improving Deep Learning for HAR with shallow LSTMs" presented at the Internatio…☆50Updated last week
- Data Analysis and Machine Learning on Physical monitoring data☆15Updated 4 years ago
- ☆42Updated 7 years ago
- This repository provides the codes and data used in our paper "Human Activity Recognition Based on Wearable Sensor Data: A Standardizatio…☆97Updated 5 years ago
- Sensor Data Augmentation by Resampling for Contrastive Learning in Human Activity Recognition☆11Updated last year
- COCOA: Cross Modality Contrastive Learning for Sensor Data☆24Updated 2 years ago
- [PAKDD-2021] Hierarchical Self Attention Based Autoencoder for Open-Set Human Activity Recognition☆15Updated last year
- Deep Convolutional Bidirectional LSTM for Complex Activity Recognition with Missing Data. Human Activity Recognition Challenge. Springer …☆22Updated 3 years ago
- Keras implementation of CNN, DeepConvLSTM, and SDAE and LightGBM for sensor-based Human Activity Recognition (HAR).☆63Updated last year
- ☆8Updated 4 years ago
- Human activity recognition, is a challenging time series classification task. It involves predicting the movement of a person based on se…☆71Updated 4 years ago
- The official implementation of paper "Towards a Dynamic Framework for Multi-Sensor-Based Wearable Human Activity Recognition". Accepted b…☆24Updated 2 years ago
- Code for our AAAI-2021 paper "Latent Independent Excitation for Generalizable Sensor-based Cross-Person Activity Recognition".☆35Updated 3 years ago