Human Hand Detection Using Evolutionary Computation for Gestures Recognition of a Partner Robot

摘要

This paper proposes a human hand detection method for gesture recognition used for communication of a robot with a human. A human hand motion can be recognized as a different meaning according to a situation in the communication between the human and robot. We propose a steady-state genetic algorithm for extracting a time series of human hand position. Finally, we discuss the effectiveness of the proposed method through several experimental results.