Localization of human in informationally structured space based on sensor networks

Author

Obo, Takenori ; Kubota, Naoyuki ; Lee, Beom Hee

Author_Institution

Dept. of Syst. Design, Tokyo Metropolitan Univ., Tokyo, Japan

fYear

2010

fDate

18-23 July 2010

Firstpage

1

Lastpage

7

Abstract

This paper proposes a measurement method of human position based on sensor network First, we explain informationally structured space, robot partners, and sensor networks developed in this study. Next, we discuss the applicability of the sensor network and robot partners for human interaction. Next, we apply a steady-state genetic algorithm using template matching to extract a person in 3D distance image based on differential extraction. Finally, we discuss the effectiveness of the proposed methods through several experimental results.

Keywords

feature extraction; genetic algorithms; human computer interaction; image matching; image sensors; 3D distance image; differential extraction; human interaction; human position; informationally structured space; robot partners; sensor networks; steady-state genetic algorithm; template matching; Humans; Lighting; Reliability; Robot kinematics; Robot sensing systems; Three dimensional displays; Evolutionary Computation; Human Interaction; Human Localization; Robot Partners; Sensor Networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems (FUZZ), 2010 IEEE International Conference on

Conference_Location

Barcelona

ISSN

1098-7584

Print_ISBN

978-1-4244-6919-2

Type

conf

DOI

10.1109/FUZZY.2010.5584888

Filename

5584888