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).
☆34Updated 9 years ago
Related projects ⓘ
Alternatives and complementary repositories for sensor-fusion
- Talk at PyData Berlin Conference☆26Updated 10 years ago
- ☆85Updated last year
- 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
- Application of Deep Learning to Human Activity Recognition using accelerometer and gyroscope sensors data☆66Updated 6 years ago
- A try to autoencode an LSTM to do anomaly detection☆23Updated 9 years ago
- Materials for talk at PyData London 2016☆38Updated 8 years ago
- TensorFlow implementation of Sensors 2018 paper: Divide and Conquer-based 1D CNN Human Activity Recognition Using Test Data Sharpening☆11Updated 6 years ago
- Anomaly detection algorithm implementation in Python☆130Updated 4 years 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
- One-Class SVM implementations for temporal segmentation of human activities☆53Updated 10 years ago
- The project aimed to implement Deep NN / RNN based solution in order to develop flexible methods that are able to adaptively fillin, back…☆26Updated 8 years ago
- Gather training data for training a self-driving car with just a smartphone.☆70Updated 4 years ago
- User activity detection using IMU (Inertial Measurement Unit) sensors and power of deep learning. The accelerometer data from smart weara…☆46Updated 5 years ago
- Particle Filter Implementations in Python and C++, with lecture notes and visualizations☆43Updated 4 years ago
- Robotic Lecture☆30Updated last year
- C++ porting of Stan Salvador's FastDTW☆34Updated 6 years ago
- The start of python code for a Kalman Filter for an Inertial Measurement Unit☆74Updated 13 years ago
- Codes for Deep Learning Based Speed Estimation for Constraining Strapdown Inertial Navigation on Smartphones☆55Updated last year
- PCA and DBSCAN based anomaly and outlier detection method for time series data.☆47Updated 6 years ago
- Deep Kalman Filter: Simultaneous Multi-Sensor Integration and Modelling; A GNSS/IMU Case Study, Siavash Hosseinyalamdary☆14Updated 5 years ago
- ☆16Updated 8 years ago
- ☆23Updated 6 years ago
- Deep Learning for mmWave radars☆28Updated 6 years ago
- Example code for neural-network-based anomaly detection of time-series data (uses LSTM)☆173Updated 7 years ago
- Data and Code of the paper Survey of Motion Tracking Methods Based on Inertial Sensors: A Focus on Upper Limb Human Motion☆33Updated 7 years ago
- IMUSim - see http://www.imusim.org/☆127Updated 2 years ago