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Ȩ Ȩ > ¿¬±¸¹®Çå > ±¹³» ³í¹®Áö > Çѱ¹Á¤º¸Åë½ÅÇÐȸ ³í¹®Áö (Journal of the Korea Institute of Information and Communication Engineering)

Çѱ¹Á¤º¸Åë½ÅÇÐȸ ³í¹®Áö (Journal of the Korea Institute of Information and Communication Engineering)

Current Result Document : 13 / 26 ÀÌÀü°Ç ÀÌÀü°Ç   ´ÙÀ½°Ç ´ÙÀ½°Ç

ÇѱÛÁ¦¸ñ(Korean Title) ´ÙÁß Å°³ØÆ® ¼¾¼­ ±â¹ÝÀÇ ¿îµ¿ ÀÚ¼¼ ÃßÁ¤ ½Ã½ºÅÛ ¼³°è ¹× ±¸Çö
¿µ¹®Á¦¸ñ(English Title) Design and Development of the Multiple Kinect Sensor-based Exercise Pose Estimation System
ÀúÀÚ(Author) Á¶¿ëÁÖ   ¹Ú°æ½Å   Yongjoo Cho   Kyoung Shin Park  
¿ø¹®¼ö·Ïó(Citation) VOL 21 NO. 03 PP. 0558 ~ 0567 (2017. 03)
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(Korean Abstract)
º» ¿¬±¸¿¡¼­´Â ´Ù¼öÀÇ Å°³ØÆ® ¼¾¼­¸¦ ÀÌ¿ëÇÏ¿© È¿À²ÀûÀÎ ½Ç½Ã°£ ¿îµ¿ ÀÚ¼¼ ÃßÁ¤ ½Ã½ºÅÛÀ» ¼³°èÇÏ°í °³¹ßÇÏ¿´´Ù. ÀÌ ½Ã½ºÅÛÀº Á¤¸é°ú Ãø¸é¿¡ Å°³ØÆ® ¼¾¼­¸¦ »ç¿ëÇÏ¿©, ÇÑ °³·Î ÃßÀûÀÌ ¾î·Á¿ü´ø »ç¿ëÀÚÀÇ Æ¯Á¤ ÀÚ¼¼ (¿¹¸¦ µé¾î, ¹«¸­ Äà ¶Ç´Â ·±Áö)¸¦ º¸´Ù Á¤È®ÇÏ°Ô ÃøÁ¤ÇÏ°í ÀνÄÇÏ´Â °ÍÀ» ¸ñÀûÀ¸·Î ÇÑ´Ù. ±×¸®°í ÃßÈÄ ´Ù¾çÇÑ ÀÚ¼¼¸¦ Áö¿øÇÒ ¼ö ÀÖµµ·Ï È®Àå °¡´ÉÇÏ°í ¸ðµâÈ­ µÈ ¹æ¹ýÀ¸·Î ¼³°èµÇ¾ú´Ù. ÀÌ ½Ã½ºÅÛÀº ¿©·¯ Ŭ¶óÀ̾ðÆ®¿Í À¯´ÏƼ 3D ¼­¹ö·Î ±¸¼ºµÈ´Ù. Ŭ¶óÀ̾ðÆ®´Â Å°³ØÆ® °ñ°Ý µ¥ÀÌÅ͸¦ ó¸®ÇÏ¿© ¼­¹ö·Î Àü¼ÛÇÑ´Ù. ¼­¹ö´Â ´ÙÁß Å°³ØÆ®¸¦ º¸Á¤ÇÏ°í, °¢µµ¿Í °Å¸®¸¦ ±â¹ÝÀ¸·Î ÇÑ Æ¯Â¡ °ª ÃßÃâÇÏ¸ç ¿©·¯ ´ëÀÇ Å°³ØÆ®·ÎºÎÅÍ °è»êµÈ Ư¡ °ªÀÇ °¡Áß Æò±ÕÀ» »ç¿ëÇÏ¿© ÀÚ¼¼ ÀÎ½Ä ¸ðµ¨À» ±â¹ÝÀ¸·Î ÀÚ¼¼ ÃßÁ¤ ¾Ë°í¸®ÁòÀ» Àû¿ëÇÑ´Ù. º» ³í¹®Àº ´ÙÁß Å°³ØÆ® ¼¾¼­¸¦ ÀÌ¿ëÇÑ Àΰ£ ¿îµ¿ ÀÚ¼¼ ÃßÁ¤ ½Ã½ºÅÛÀÇ ¼³°è ¹× ±¸Çö ¹æ¹ýÀ» Á¦½ÃÇÏ°í, üÇèÇü À¯´ÏƼ 3D ¿îµ¿ °ÔÀÓ¿¡ Àû¿ëÇÑ ¿¹½Ã¸¦ ¼³¸íÇÑ´Ù.
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(English Abstract)
In this research, we developed an efficient real-time human exercise pose estimation system using multiple Kinects. The main objective of this system is to measure and recognize the user¡¯s posture (such as knee curl or lunge) more accurately by employing Kinects on the front and the sides. Especially it is designed as an extensible and modular method which enables to support various additional postures in the future. This system is configured as multiple clients and the Unity3D server. The client processes Kinect skeleton data and send to the server. The server performs the multiple-Kinect calibration process and then applies the pose estimation algorithm based on the Kinect-based posture recognition model using feature extractions and the weighted averaging of feature values for different Kinects. This paper presents the design and implementation of the human exercise pose estimation system using multiple Kinects and also describes how to build and execute an interactive Unity3D exergame.
Å°¿öµå(Keyword) ¸ÖƼ Å°³ØÆ® ¼¾¼­   ¿îµ¿ ÀÚ¼¼ ÃßÁ¤   ´ëÈ­Çü ¿îµ¿   ¿îµ¿ ÀÀ¿ëÇÁ·Î±×·¥   Multiple Kinect sensors   Exercise Pose Estimation   Interactive Exercise   Fitness Applications  
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