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 4 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☆70Updated 2 years ago
- Encoding human activity by considering salient sensors and time points.☆40Updated last year
- Deep Convolutional Bidirectional LSTM for Complex Activity Recognition with Missing Data. Human Activity Recognition Challenge. Springer …☆23Updated 3 years ago
- Keras implementation of CNN, DeepConvLSTM, and SDAE and LightGBM for sensor-based Human Activity Recognition (HAR).☆63Updated 2 years ago
- Multimodal human activity recognition using wrist-worn wearable sensors.☆46Updated 4 years ago
- Human Activity Recognition Transformer (HART) is a transformer based architecture that has been specifically adapted for IMU sensing devi…☆57Updated 2 months ago
- Code for our IJCAI 2019 paper "A Novel Distribution-Embedded Neural Network for Sensor-Based Activity Recognition".☆16Updated 4 years ago
- [ECAI 2020] Tensorflow 2.x Implementation of "Human Activity Recognition from Wearable Sensor Data Using Self-Attention"☆48Updated 3 years ago
- CNN, LSTM, CNN+LSTM for human activity recongnition on WISDM dataset(smartphone dataset)☆20Updated 6 years ago
- Deep Learning-Based Gait Recognition Using Smartphones in the Wild☆111Updated last year
- Simple 1D CNN approach to human-activity-recognition (HAR) in PyTorch.☆57Updated 5 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, is a challenging time series classification task. It involves predicting the movement of a person based on se…☆75Updated 4 years ago
- DeepConvLSTM model for sensor-based human activity recognition in Pytorch☆39Updated 5 years ago
- This is the project of "If-ConvTransformer: A Framework for Human Activity Recognition Using IMU Fusion and ConvTransformer"☆33Updated last year
- DeepConvLSTM implemented in python 3 and pytorch☆25Updated 3 years ago
- Use a LSTM network to predict human activities from sensor signals collected from a smartphone☆49Updated 2 years ago
- Data Analysis and Machine Learning on Physical monitoring data☆15Updated 5 years ago
- Human Activity Recognition on the Wireless Sensor Data Mining (WISDM) dataset using LSTM Recurrent Neural Networks☆36Updated 2 years ago
- Multimodal Dataset of Freezing of Gait in Parkinson's Disease☆43Updated 2 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…☆17Updated 3 years ago
- Official GitHub page of the best-paper award publication "Improving Deep Learning for HAR with shallow LSTMs" presented at the Internatio…☆51Updated 4 months ago
- Human Activity Recognition using LSTM-CNN model on raw data set.☆33Updated 2 years ago
- Human activity recognition(LSTM, BidLSTM, BidLSTM+CNN, LSTM+CNN)☆15Updated 6 years ago
- The official implementation of paper "Spatial-Temporal Masked Autoencoder for Multi-Device Wearable Human Activity Recognition". Accepted…☆10Updated 11 months ago
- This repository provides the codes and data used in our paper "Human Activity Recognition Based on Wearable Sensor Data: A Standardizatio…☆100Updated 5 years ago
- Intertial-based Human Activity Recognition with Transformers☆71Updated 3 years ago
- Attend and Discriminate: Beyond the State-of-the-Art for Human Activity Recognition Using Wearable Sensors☆23Updated 4 years ago
- Deep 1D-Convnet for accurate Parkinson disease detection and severity prediction from gait☆26Updated last year
- Source code for the Gait Recognition using LSTM, presented in the paper "Multi-model Long Short-term Memory Network for Gait Recognition …☆17Updated 2 years ago