抄録
Cerebral disease is becoming a more serious problem as society ages. Methods are thus needed to evaluate the extent of cerebral disease so that rehabilitation can be provided. In our study, we are trying to detect early sign of cerebral disease by making use of the recognition mechanism of the face and synthesizing facial images using computer technology. We evaluated the extent of cerebral disease by performing two kinds of experiments : parts synthesis and expression synthesis. By detecting cerebral disease early, we start rehabilitation early and reduce the load on medical doctors. Based on the results, we classified prosopagnosia patients as having cerebral disease or being normal. We then identified those in the second group that had a risk of slight cerebral disease by conducting a parts-movement experiment.
