damnko / har-convolutional-neural-networks
CNNs and Stacked denoising autoencoders for human activity recognition using Keras
☆22Updated 6 years ago
Alternatives and similar repositories for har-convolutional-neural-networks:
Users that are interested in har-convolutional-neural-networks are comparing it to the libraries listed below
- AROMA: A Deep Multi-Task Learning Based Simple and Complex Human Activity Recognition Method Using Wearable Sensors☆28Updated 6 years ago
- LSTM-CNN model for Human Activity Recognition☆23Updated 6 years ago
- Comparison of frequently used deep learning architectures (LSTM, biLSTM, GRU and CNN) on ten Human Activity Recognition datasets.☆17Updated last year
- Explanation of 1D CNN☆56Updated 6 years ago
- Encoding human activity by considering salient sensors and time points.☆40Updated last year
- ☆40Updated 7 years ago
- CNN, LSTM, CNN+LSTM for human activity recongnition on WISDM dataset(smartphone dataset)☆20Updated 6 years ago
- Human Activities and Postural Transitions’ Recognition using Smartphone Data☆14Updated 7 years ago
- Jupyter Notebook for Human Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras☆160Updated last year
- deadskull7 / Human-Activity-Recognition-with-Neural-Network-using-Gyroscopic-and-Accelerometer-variablesThe VALIDATION ACCURACY is BEST on KAGGLE. Artificial Neural Network with a validation accuracy of 97.98 % and a precision of 95% was ach…☆84Updated 6 years ago
- Use a LSTM network to predict human activities from sensor signals collected from a smartphone☆49Updated 2 years ago
- Code for our IJCAI 2019 paper "A Novel Distribution-Embedded Neural Network for Sensor-Based Activity Recognition".☆16Updated 4 years ago
- A script to use the PyWavelet library to perform denoising on a signal using a multi-level signal decomposition using a discrete wavelet …☆106Updated 5 years ago
- Artificial Neural Networks (ANN), k-Nearest Neighbors, Random Forest classifier and Support Vector Machines (SVM) were trained over a HAR…☆24Updated 6 years ago
- STFNets: Learning Sensing Signals from the Time-Frequency Perspective with Short-Time Fourier Neural Networks☆49Updated 5 years ago
- A simple implementation of domain adversarial training with GAN loss in Keras☆59Updated 6 years ago
- Deep Convolutional Bidirectional LSTM for Complex Activity Recognition with Missing Data. Human Activity Recognition Challenge. Springer …☆23Updated 3 years 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
- ☆9Updated 4 years ago
- Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification☆139Updated 5 years ago
- DeepConvLSTM implemented in python 3 and pytorch☆24Updated 3 years ago
- Classifying the physical activities performed by a user based on accelerometer and gyroscope sensor data collected by a smartphone in the…☆95Updated 7 years ago
- Improving Human Activity Recognition through Self-training with Unlabeled Data☆39Updated 3 years ago
- Contrastive Learning (SimCLR) for Human Activity Recognition☆73Updated 3 years ago
- ☆36Updated 7 years ago
- Data augmentation for multivariate time series classification☆27Updated 5 years ago
- Use Hilbert-Huang Transform(EMD), MFCC, semi-supervised Rough Fuzzy Laplacian Eigenmap(SS-RFLE) to extract features of signals. Use FCM,…☆45Updated 6 years ago
- Code for the paper "Attention-Based Deep Learning Framework for Human Activity Recognition with User Adaptation", Buffelli D., Vandin F.,…☆18Updated 3 years ago
- Human Activity Recognition on the Wireless Sensor Data Mining (WISDM) dataset using LSTM Recurrent Neural Networks☆36Updated 2 years ago
- Implementation of the stacked denoising autoencoder in Tensorflow☆203Updated 6 years ago