Our ElderCare application was explained at TeleMadrid news on 2008-07-08.
Eldercare autonomously detects people falls using regular cameras. It is aimed at elder people which live alone. The system reduces the time without medical assistance in the case of fall or faint of the elder patient. It continuously analyzes the images from several cameras and estimates the 3D position of the people in the monitored area. In the event of a fall or a faint it triggers the alarm to alert a relative or a doctor. The system does not require any actuation from the patient, it is completely autonomous and non intrusive. It is based on particle filters technology, motion and color analysis.
Antonio Pineda and Sara Marugán share the credits of this application
This is one sample exercise that alumni from Robotica course did on the second semester of 2008. A pioneer robot in Gazebo simulator had to follow a red line at the floor, using only its own (simulated) camera. They programmed a reactive vision-based controller to do so.
Now, the user can pause and replay the movement action of the skeleton (Ramón) by the two buttons directly inserted in the virtual scene. This improvement has been done through the Progeo library, that allow to relate the 2D points corresponding to the imagen pixels with the 3D points of the virtual stage. If the line projected from the pixel go through one of the “virtual” buttons, the action is paused or played.
This is a video example of the “skeleton in movement” visualizer that we’re developing. This scheme allows the camera control by mouse and a series of illumination options. Enjoy it.
In this video, we can see a navigation simulation using Gradient Path Planning Algorithm. Under OpenGL we have improved the agility of response to graphical level. We’re design our virtual department; the blue mark represent the virtual robot, and the red mark is the goal (office 113).
