SamanKhamesian / Time-Series-Classification-for-Human-Activity-RecognitionLinks
An implementation of the CNN-LSTM model for Classifying Time Series Human Activities
☆25Updated 4 years ago
Alternatives and similar repositories for Time-Series-Classification-for-Human-Activity-Recognition
Users that are interested in Time-Series-Classification-for-Human-Activity-Recognition are comparing it to the libraries listed below
Sorting:
- [ECAI 2020] Tensorflow 2.x Implementation of "Human Activity Recognition from Wearable Sensor Data Using Self-Attention"☆48Updated 4 years ago
- Keras implementation of CNN, DeepConvLSTM, and SDAE and LightGBM for sensor-based Human Activity Recognition (HAR).☆70Updated 2 years ago
- Encoding human activity by considering salient sensors and time points.☆41Updated 2 years ago
- Pytorch implementation for "LSTM Fully Convolutional Networks for Time Series Classification"☆31Updated 5 years ago
- 基于一维卷积神经网络（1D-CNN）的多元时间序列分类☆78Updated 5 years ago
- Multimodal human activity recognition using wrist-worn wearable sensors.☆48Updated 5 years ago
- Transformer for Human Activity Recognition☆75Updated 2 years ago
- Contrastive Learning (SimCLR) for Human Activity Recognition☆79Updated 4 years ago
- Binary Time Series Classification using two different approaches: LSTM with Dropout and LSTM with Attention.☆13Updated 5 years ago
- Machine Learning Based Unbalance Detection of a Rotating Shaft Using Vibration Data☆41Updated 3 years ago
- Multiclass classification of vibration signals of faulty bearings☆98Updated 6 years ago
- Simple 1D CNN approach to human-activity-recognition (HAR) in PyTorch.☆60Updated 6 years ago
- ☆41Updated 8 years ago
- DeepConvLSTM model for sensor-based human activity recognition in Pytorch☆40Updated 6 years ago
- This repository contains data and code that implement common machine learning algorithms for machinery condition monitoring task.☆94Updated 9 months ago
- Attend and Discriminate: Beyond the State-of-the-Art for Human Activity Recognition Using Wearable Sensors☆23Updated 4 years ago
- Comparison of frequently used deep learning architectures (LSTM, biLSTM, GRU and CNN) on ten Human Activity Recognition datasets.☆18Updated 2 years ago
- Improving on NASA's work with induction motor bearing fault detection using RNN-powered smart sensors.☆31Updated 6 years ago
- LSTM Auto-Encoder (LSTM-AE) implementation in Pytorch☆90Updated 4 years ago
- DeepConvLSTM implemented in python 3 and pytorch☆27Updated 3 years ago
- A simple program to implement the Symplectic geometry mode decomposition (SGMD), including python and matlab versions.☆26Updated 2 years ago
- ☆24Updated 3 years ago
- Explanation of 1D CNN☆58Updated 6 years ago
- Improving Human Activity Recognition through Self-training with Unlabeled Data☆42Updated 4 years ago
- The features of nonlinearity and non-stationarity in real systems are often difficult to be extracted. This paper focuses on developing a…☆24Updated last year
- 信号分解算法，EMD，EEMD，CEEMDAN，VMD以及常见的熵☆12Updated last year
- An Architecture Combining CNN and SVM for Image Classification☆17Updated 6 years ago
- Use Hilbert-Huang Transform(EMD), MFCC, semi-supervised Rough Fuzzy Laplacian Eigenmap(SS-RFLE) to extract features of signals. Use FCM,…☆48Updated 7 years ago
- Time series missing data imputation with Temporal Convolutional Denoising Autoencoder☆18Updated last year
- This repository provides the codes and data used in our paper "Human Activity Recognition Based on Wearable Sensor Data: A Standardizatio…☆102Updated 5 years ago