NDLI: Recognition of visual signals and firing positions for virtual military training systems

Content Provider	IEEE Xplore Digital Library
Author	Yoon Suk Kwak Soon Ki Jung
Copyright Year	2013
Description	Author affiliation: Sch. of Comput. Sci. & Eng., Kyungpook Nat. Univ., Daegu, South Korea (Yoon Suk Kwak; Soon Ki Jung)
Abstract	In this paper, we present visual hand and arm signals recognition and rifle firing positions estimation for virtual military training systems which perform various military tasks in the virtual environments. Among them, we deal with the platoon leader training and rifle firing position training for various military situations. In the platoon leader training, the trainee whose role is a platoon leader keeps command and control over his/her members by visual signals. The proposed visual signals and rifle firing positions recognition system exploits the optical motion capture system. For the real-time performance, our recognition method localizes the head and hands in the user-centered partitions of 3D space and analyzes their temporal transitions, and finally makes a simple decision to classify the visual hand and arm signals. Experimental results show the evaluation of the proposed method.
Sponsorship	IEEE Ind. Electron. Soc.
Starting Page	656
Ending Page	658
File Size	904371
Page Count	3
File Format	PDF
ISBN	9781467356350
ISSN	21582246
e-ISBN	9781467356374
DOI	10.1109/HSI.2013.6577895
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-06-06
Publisher Place	Poland
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Visualization Firing Estimation Optical sensors Visual signal recognition military training motion capture Foot
Content Type	Text
Resource Type	Article

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