Development of Estimating System for Hand Posture Considering Presentation of Hand in the Brain

摘要

The hand posture estimation system by searching a similar image from a vast database, such as our previous research, may cause the increase of processing time, and prevent realtime controlling of a robot. In this study, therefore, the authors proposed a new estimation method of human hand posture by rearranging the vast database with the Self-Organized Map (SOM) including self-proliferation and self-disappearance, which enables two-step searches of similar image with short period of processing time within small errors. The experimental results showed that our the system exhibited good performance with high accuracy within processing time of 20 ms or less for each image input with a 2.8GHz CPU PC.