Presentation 2007-08-04
3D estimation of human hand posture with wrist motions
Emi TAMAKI, Kiyoshi HOSHINO,
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Abstract(in English) Service Robots must recognize and reproduce human gesture to help the persons. The hand has complex multijointed fingers among the body parts. The hand posture estimation, therefore, is known for the greatest difficulty, especially with the wrist rotation. In this paper, we constructed 3D hand posture estimation system which searches for approximate nail postions and hand countour data from a database composed of nail postions, hand contour, and finger joint angles. The experimental results showed that the system estimated the hand posture with wrist rotation with processing speed of 100fps, with standard deviation of 6.53 degrees in the finger joint angle as the accuracy.
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Keyword(in English) computer vision / hand posture estimation / 3D user interface / nail positions / nail color
Paper # WIT2007-26
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Committee WIT
Conference Date 2007/7/27(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) 3D estimation of human hand posture with wrist motions
Sub Title (in English)
Keyword(1) computer vision
Keyword(2) hand posture estimation
Keyword(3) 3D user interface
Keyword(4) nail positions
Keyword(5) nail color
1st Author's Name Emi TAMAKI
1st Author's Affiliation Graduate School of Systems and Information Engineering, Univ. of Tsukuba()
2nd Author's Name Kiyoshi HOSHINO
2nd Author's Affiliation Graduate School of Systems and Information Engineering, Univ. of Tsukuba
Date 2007-08-04
Paper # WIT2007-26
Volume (vol) vol.107
Number (no) 179
Page pp.pp.-
#Pages 4
Date of Issue