jair-jr / driverBehaviorDataset
☆87Updated last year
Alternatives and similar repositories for driverBehaviorDataset:
Users that are interested in driverBehaviorDataset are comparing it to the libraries listed below
- ☆20Updated 6 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
- Given the Live on board data of various drivers, a score corresponding to each driver is to be formulated, which will help insurance comp…☆12Updated 6 years ago
- Encoding human activity by considering salient sensors and time points.☆40Updated 2 years ago
- Deep Neural Network Ensembles for Time Series Classification☆111Updated last year
- Application of Deep Learning to Human Activity Recognition using accelerometer and gyroscope sensors data☆67Updated 7 years ago
- ☆36Updated 8 years ago
- Multimodal human activity recognition using wrist-worn wearable sensors.☆46Updated 4 years ago
- Human Activity Recognition Using Deep Learning☆48Updated 5 years ago
- Keras implementation of CNN, DeepConvLSTM, and SDAE and LightGBM for sensor-based Human Activity Recognition (HAR).☆64Updated 2 years ago
- MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and …☆334Updated 3 years ago
- Repository for the paper "SMATE: Semi-Supervised Spatio-Temporal Representation Learning on Multivariate Time Series" in ICDM 2021☆20Updated 5 months ago
- Comparison of frequently used deep learning architectures (LSTM, biLSTM, GRU and CNN) on ten Human Activity Recognition datasets.☆17Updated last year
- iPython notebook and Android app that shows how to build LSTM model in TensorFlow and deploy it on Android☆193Updated 4 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
- An LSTM Autoencoder for rare event classification☆108Updated 5 years ago
- Time Series Classification Benchmark with LSTM, VGG, ResNet☆59Updated 7 years ago
- Anomaly detection for streaming data using autoencoders☆197Updated 2 years ago
- AI deep learning neural network for anomaly detection using Python, Keras and TensorFlow☆200Updated 4 years ago
- Reader tool for UAH-DriveSet☆20Updated 3 years ago
- Multivariate LSTM Fully Convolutional Networks for Time Series Classification☆102Updated 6 years ago
- Understanding an LSTM Autoencoder☆37Updated 5 years ago
- Lstm variational auto-encoder for time series anomaly detection and features extraction☆320Updated 4 years ago
- Analysis of behavior of drivers behind the wheel using sensors available on smartphone☆11Updated 7 years ago
- Unsupervised deep learning framework with online(MLP: prediction-based, 1 D Conv and VAE: reconstruction-based, Wavenet: prediction-based…☆126Updated 2 years ago
- Classifying time series using feature extraction☆86Updated 6 years ago
- The goal of this project was to build a smartphone application that can recognize hazardous behavior of a car driver. The driver actions …☆10Updated 5 years ago
- Keras implementation of LSTM-VAE model for anomaly detection☆37Updated 4 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
- ☆33Updated 6 years ago