An Integrated System for Medical Diagnosis of Human Facial Perception

Abstract

We present an integrated system for medical diagnosis of the human facial perception in human brain. The human facial perception is an important function in the human visual system. The diagnosis of the human facial perception is an important issue to be tackled in the medical field because some neurological diseases including the autism are supposed to be caused by un-ordinal behavior of the human facial perception. The behavior can be observed through electro-magnetophysiology tests using test images. However, the generation of the test images is tedious work because various types of test images are needed to perform the tests. The system automates the process of the test image generation. The system also has an integrated database to manage various types of experimental data. They are test image data, image filtering parameters, time-varying signal data gotten by medical equipments, and other experimental information. The system stores the data in an integrated database to make the tests easy. We evaluated the system in corporation with medical researchers. The implementation and evaluation of the system are explained in this paper.