A tool to implement and understand Kalman Filters.

Kalman Desktop along with Kalman Mobile is a Server-Client pair that reads the accelerometer readings from an Android device and sends them over to a desktop application over websockets. It then moves the cursor on the screen according to the change in acceleration of the mobile device.

A DataObject is recieved which contains acceleration along x, y and z in m/s² and a timestamp in nanoseconds (time since the device has been on).

Kalman mobile reads Sensor.TYPE_ACCELEROMETER and not Sensor.TYPE_ACCELEROMETER_UNCALIBRATED. Meaning it is bias compensated.

1. Implement Kalman filter
2. Host index.html with JS client for easy testing

Robot robot = new Robot();
Point2D p = robot.getMousePosition();
robot.mouseMove(p.getX() + acc_x, p.getY() + acc_y);

• Kalmanfilter.net
• Kalman's seminal paper (1960)
• UNC's collection of resources

GNU General Public License

App icon stolen from kalmanfilter.net