Abstract
We propose an intelligent interface using an on-line human motion recognition method by means of associative inference. The proposed interface carries out recognizing by means of a) a fuzzy rule set whose fuzzy labels express human motion features, and of b) situation dependent rule sets additional to a)'s a rule set. So the proposed interface improves two conventional untouched interface problems explained ; 1) it's impossible to recognize any human motions, 2) It's impossible to distinguish same human motions in dependence on a situation or on a context.We apply the proposed interface both to a robot interface and to a Japanese sign language interface. As results of experiments, the rate of recognition average on the robot interface is 98.1%, the rate of recognition average on the Japanese sign language interface is 85.9%. So we verified that the proposed interface improves two problems shown as 1) and 2), shows its usefulness for untouched human interfaces.
