Á¤º¸°úÇÐȸ³í¹®Áö (Journal of KIISE)
Current Result Document :
ÇѱÛÁ¦¸ñ(Korean Title) |
Àç¼³Á¤ °¡´ÉÇÑ ¸ð¼Ç ĸÃĸ¦ À§ÇÑ ºÎºÐ µ¿ÀÛ ÀúÀÛ |
¿µ¹®Á¦¸ñ(English Title) |
Partial Movement Authoring for a Reconfigurable Motion Capture |
ÀúÀÚ(Author) |
±è¼ºÈÆ
ÀÓ¾ç±Ô
±è¿µÈ£
俵ȣ
Seonghun Kim
Yangkyu Lim
Youngho Kim
Youngho Chai
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¿ø¹®¼ö·Ïó(Citation) |
VOL 46 NO. 10 PP. 0989 ~ 1000 (2019. 10) |
Çѱ۳»¿ë (Korean Abstract) |
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¿µ¹®³»¿ë (English Abstract) |
Research on human motion perception has progressed along with the development of technology. The demand for the gesture recognition is increasing daily. In motion capture, data on each part of the body are acquired by using a sensor or camera in order to realize a natural movement as an actual motion. However, it is inefficient to use the sensor every time motion data must be obtained or to make repeat measures because of slight differences in motion. In addition, various problems must be solved in order to transfer the stored data to another person or modify it use for another action. In this paper, we studied the trends of motion recognition research and analyzed characteristics of the motion reproduction method using keyframe animation and the Labanotation motion recording method. In addition, we proposed an action authoring method which addresses the disadvantages of the existing methods. By visualizing and recording the pattern of partial motions in the units of the images, it is possible to reconstruct other motions, including the meaning of the motion.
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Å°¿öµå(Keyword) |
Å° ÇÁ·¹ÀÓ ¾Ö´Ï¸ÞÀ̼Ç
¸ð¼Ç ĸÃÄ
Àΰ£ µ¿ÀÛ ÀúÀÛ
Á¦½ºÃ³ À籸¼º
µ¿ÀÛ ±â·Ï
Keyframe animation
motion capture
human motion authoring
gesture reconstruction
motion recording
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