Observation of multiple objects based on human-object interaction in intelligent space

Abstract

This paper presents a method for multiple objects localization in the Intelligent Space (iSpace). The localization is realized by using two types of information. One is acceleration data which is used to determine whether an object is being operated. Acceleration data is acquired by using sensor network system. The other is hand position information of a nearest user to one object. By combining the information, positions of objects are able to be estimated by corresponding positions of user hands. In this method, determination of objects initial position is a first problem. In order to solve it, we use correlation of acceleration data among user hands and objects. Initial position of each object is given based on user's hand position which is scored high correlation.