Machine recognition of human task for man-machine cooperative work

Author

Tateno, Toshitake ; Ito, Takeshi ; Igoshi, Masanori

Author_Institution

Graduate Sch. of Mech. Eng., Tokyo Metropolitan Univ., Japan

Volume

4

fYear

1999

fDate

1999

Firstpage

1

Abstract

Because recent products are becoming too complex to operate or maintain by only one worker without special education, an associate system, which advises the worker on what to do, is required. In order to construct the associate system, a recognition method for human task and motion monitoring by using a HMM and an AND/OR graph is proposed. An experimental system is developed, in which a vision device and a force sensing device are used for detecting human motions. As the results of the recognition tests for assembly and disassembly show, we found the system can identify the task about 90% correctly. We confirmed the system can contribute to man-machine cooperative work

Keywords

assembling; computer vision; force sensors; graph theory; hidden Markov models; image motion analysis; AND/OR graph; assembly; computer vision; disassembly; experimental system; force sensing device; hidden Markov model; human motion detection; human task monitoring; human task recognition; man-machine cooperative work; Assembly systems; Character recognition; Collaborative work; Educational products; Hidden Markov models; Humans; Indium tin oxide; Man machine systems; Mechanical engineering; Systems engineering education;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on

Conference_Location

Tokyo

ISSN

1062-922X

Print_ISBN

0-7803-5731-0

Type

conf

DOI

10.1109/ICSMC.1999.812366

Filename

812366