sbussmann / sensor-fusion
Use accelerometer and gyroscope data from smartphones to identify vehicle type (bus or car) and phone location (driver side or passenger side).
☆35Updated 9 years ago
Alternatives and similar repositories for sensor-fusion:
Users that are interested in sensor-fusion are comparing it to the libraries listed below
- Efforts to emulate the dynamics of Kalman filtering on 9-axis IMU data from an Android device with a recurrent neural network.☆34Updated 8 years ago
- MATLAB Human Activity Recognition Toolbox☆56Updated 6 years ago
- Talk at PyData Berlin Conference☆27Updated 10 years ago
- A Sensor Fusion Algorithm that can predict a State Estimate and Update if it is uncertain☆150Updated 7 months ago
- This project performs sensor fusion to track a mobile device's orientation. The data utilised are from three sensors: a) Accelerometer, b…☆30Updated 9 years ago
- Data and Code of the paper Survey of Motion Tracking Methods Based on Inertial Sensors: A Focus on Upper Limb Human Motion☆32Updated 7 years ago
- Application of Deep Learning to Human Activity Recognition using accelerometer and gyroscope sensors data☆67Updated 6 years ago
- Package for analyzing human motion data (e.g. PA, gait)☆90Updated 4 months ago
- Implementation code and parameters of the CNN-IMU presented in the Journal "Convolutional Neural Networks for Human Activity Recognition …☆32Updated 5 years ago
- ☆24Updated 6 years ago
- Python implementation of an Extended Kalman Filter.☆32Updated 7 years ago
- Deep Convolutional Bidirectional LSTM for Complex Activity Recognition with Missing Data. Human Activity Recognition Challenge. Springer …☆23Updated 3 years ago
- User activity detection using IMU (Inertial Measurement Unit) sensors and power of deep learning. The accelerometer data from smart weara…☆49Updated 5 years ago
- Python functions for working with 3D kinematics.☆133Updated 2 months ago
- Codes for Deep Learning Based Speed Estimation for Constraining Strapdown Inertial Navigation on Smartphones☆57Updated last year
- Deep learning framework for wearable activity recognition based on convolutional and LSTM recurretn layers☆272Updated 6 years ago
- Personalized machine learning on the smartphone☆59Updated last year
- AROMA: A Deep Multi-Task Learning Based Simple and Complex Human Activity Recognition Method Using Wearable Sensors☆28Updated 6 years ago
- ☆36Updated 7 years ago
- human's walking pose context classification, gps/ins system navigation error compensation☆31Updated 6 years ago
- My solution to the Udacity Self-Driving Car Engineer Nanodegree Extended Kalman Filter project.☆20Updated 7 years ago
- Kalman filtering, also known as linear quadratic estimation (LQE), is an algorithm that uses a series of measurements observed over time…☆92Updated 3 years ago
- Simple demo of filtering signal with an LPF and plotting its Short-Time Fourier Transform (STFT) and Laplace transform, in Python.☆66Updated 6 years ago
- Human Activity Recognition Using Deep Learning☆48Updated 5 years ago
- LSTM based human activity recognition using smart phone sensor dataset☆23Updated 7 years ago
- AI techniques for autonomous actions and events that simulate Autonomous Robots collaborating in a dynamic environment to achieve certain…☆35Updated 8 years ago
- Dead reckoning navigation using a smartphone magnetometer.☆77Updated 3 years ago
- 2017 SURF of EEE Department XJTLU: Indoor Localization☆18Updated 5 years ago
- ☆65Updated 7 years ago
- Particle Filter Implementations in Python and C++, with lecture notes and visualizations☆42Updated 4 years ago