STRCWearlab / DataLoggerLinks
Android application for reliable multidevice multisensor big data collection
☆28Updated 6 years ago
Alternatives and similar repositories for DataLogger
Users that are interested in DataLogger are comparing it to the libraries listed below
Sorting:
- iPython notebook and Android app that shows how to build LSTM model in TensorFlow and deploy it on Android☆194Updated 4 years ago
- AROMA: A Deep Multi-Task Learning Based Simple and Complex Human Activity Recognition Method Using Wearable Sensors☆29Updated 7 years ago
- Application of Deep Learning to Human Activity Recognition using accelerometer and gyroscope sensors data☆68Updated 7 years ago
- Classifying the physical activities performed by a user based on accelerometer and gyroscope sensor data collected by a smartphone in the…☆96Updated 7 years ago
- Package for analyzing human motion data (e.g. PA, gait)☆91Updated 3 weeks ago
- MATLAB Human Activity Recognition Toolbox☆56Updated 3 months ago
- 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
- Code for data processing used for the experiment in paper "Deepsense: a unified deep learning framework for time-series mobile sensing da…☆29Updated 7 years ago
- DANA: Dimension-Adaptive Neural Architecture (UbiComp'21)( ACM IMWUT)☆45Updated 3 years ago
- ☆36Updated 8 years ago
- Personalized machine learning on the smartphone☆59Updated 2 years ago
- Code for the paper "Attention-Based Deep Learning Framework for Human Activity Recognition with User Adaptation", Buffelli D., Vandin F.,…☆19Updated 3 years ago
- Encoding human activity by considering salient sensors and time points.☆40Updated 2 years ago
- 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
- Deep learning framework for wearable activity recognition based on convolutional and LSTM recurretn layers☆277Updated 7 years ago
- A repository for unified analysis of accelerometer-based human activity recognition.☆36Updated 2 years ago
- Use a LSTM network to predict human activities from sensor signals collected from a smartphone☆49Updated 2 years ago
- Some Machine Learning techniques for Time Series classification.☆39Updated 8 years ago
- ☆40Updated 7 years ago
- Keras implementation of CNN, DeepConvLSTM, and SDAE and LightGBM for sensor-based Human Activity Recognition (HAR).☆67Updated 2 years ago
- Human Activity Recognition Using Deep Learning☆48Updated 5 years ago
- Implementation code and parameters of the CNN-IMU presented in the Journal "Convolutional Neural Networks for Human Activity Recognition …☆32Updated 5 years ago
- ActiveHARNet: Towards On-Device Deep Bayesian Active Learning for Human Activity Recognition☆12Updated 4 years ago
- Deep Convolutional Bidirectional LSTM for Complex Activity Recognition with Missing Data. Human Activity Recognition Challenge. Springer …☆23Updated 4 years ago
- STFNets: Learning Sensing Signals from the Time-Frequency Perspective with Short-Time Fourier Neural Networks☆49Updated 5 years ago
- Artificial Neural Networks (ANN), k-Nearest Neighbors, Random Forest classifier and Support Vector Machines (SVM) were trained over a HAR…☆24Updated 7 years ago
- Human Activity Recognition Using Accelerometer Data and CNN☆23Updated 5 years ago
- LSTM based human activity recognition using smart phone sensor dataset☆23Updated 7 years ago
- Code repository for experiments on deep architecture for HAR in ubicomp☆23Updated 8 years ago
- ☆54Updated 6 years ago