NDLI: Automatic gesture recognition for intelligent human-robot interaction

Content Provider	IEEE Xplore Digital Library
Author	Seong-Whan Lee
Copyright Year	2006
Description	Author affiliation: Dept. of Comput. Sci. & Eng., Korea Univ., Seoul (Seong-Whan Lee)
Abstract	An intelligent robot requires natural interaction with humans. Visual interpretation of gestures can be useful in accomplishing natural human-robot interaction (HRl). Previous HRI researches were focused on issues such as hand gesture, sign language, and command gesture recognition. However, automatic recognition of whole body gestures is required in order to operate HRI naturally. This can be a challenging problem because describing and modeling meaningful gesture patterns from whole body gestures are complex tasks. This paper presents a new method for spotting and recognizing whole body key gestures at the same time on a mobile robot. Our method is simultaneously used with other HRI approaches such as speech recognition, face recognition, and so forth. In this regard, both of execution speed and recognition performance should be considered. For efficient and natural operation, we used several approaches at each step of gesture recognition; learning and extraction of articulated joint information, representing gesture as a sequence of clusters, spotting and recognizing a gesture with HMM. In addition, we constructed a large gesture database, with which we verified our method. As a result, our method is successfully included and operated in a mobile robot
Starting Page	645
Ending Page	650
File Size	427250
Page Count	6
File Format	PDF
ISBN	0769525032
DOI	10.1109/FGR.2006.25
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-04-10
Publisher Place	UK
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Intelligent robots Mobile robots Humans Handicapped aids Biological system modeling Speech recognition Face recognition Data mining Hidden Markov models Databases
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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