Abstract
This paper proposes improvement of a method to recognize waving hands using FFT. We constructed an intelligent room that has gesture recognition as a human-machine interface. Recognition of waving hands from images is a key technology of the system to detect an operator in the room. The current method cannot recognize slow waving hands. Therefore we increase the number of sampling frames and add the features to solve this problem. The proposed method is verified by simulations and experiments, and it was confirmed that the method can recognize even slow waving hands.
