Beril Sirmacek of University of Twente has been working with her research group on developing handheld devices for giving patients the opportunity to observe the developments of their skin burns, cancer tissues, or diabetic wounds. These devices benefit from simultaneous localization and mapping (SLAM) and artificial intelligence algorithms. The self-observation process can be very helpful in giving patients early warnings, allowing them to visit their doctors on time. It can also reduce the doctor’s stress by helping them classify the patient’s emergency accurately and provide an appropriate appointment schedule.
Because of Beril’s interest in projection mapping and augmented reality, she has put effort into texturing the human skin with projected visuals from the handheld devices. These projections can show what is not seen with the naked eye and can make the skin development process more observable both for the patient’s and doctor’s understanding.
In this talk, Beril introduces how MATLAB® provides a single platform for all aspects of her project including computer vision, SLAM, artificial intelligence, and GPU implementation.
