GS11-7 Real Detection of 3D Human Hand Orientation Based Morphology

Title:	GS11-7 Real Detection of 3D Human Hand Orientation Based Morphology
Publication:	ICAROB2017
Volume:	22
Pages:	715-718
ISSN:	2188-7829
DOI:	10.5954/ICAROB.2017.GS11-7
Author(s):	Abadal-Salam T. Hussain, Hazry D., Waleed A. Oraibi, M.S Jawad, Zuradzman M. Razlan, Wesam Al-Mufti, S. Faiz Ahmed, Taha A. Taha, Khairunizam WAN, Shahriman A.B
Publication Date:	January 19, 2017
Keywords:	3D human hand, 3D detection, 3D orientation, SCARA robot
Abstract:	This paper describes a new methodology to track a human hand movement in 3D space and estimate its orientation and position in real time. The objective of this algorithm development is to ultimately using it in robotic spherical wrist system application. This method involves image processing and morphology techniques in conjunction with various mathematical formulae to calculate the hand position and orientation. The advantage of this technique is that, there is no need for continuous camera calibration which is required in other conventional methods in similar applications. The result of proposed method shows correctly identifying a large number of hand movements and its orientations. The proposed method could therefore be used with different types of tele operated robotic manipulators or in other human-computer interaction applications. This method is more robust and less computationally expensive, unlike other approaches that use costly leaning functions. The high performance is achieved during experiments testing because of its accurate hand movement identification and the low computational load. Keywords: List four to six keywords which characterize the article.
PDF File:	https://alife-robotics.co.jp/members2017/icarob/data/html/data/GS_pdf/GS11/GS11-7.pdf
Copyright:	© The authors. This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. See for details: https://creativecommons.org/licenses/by-nc/4.0/

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