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Á¤º¸°úÇÐȸ³í¹®Áö (Journal of KIISE)
Á¤º¸°úÇÐȸ³í¹®Áö (Journal of KIISE)
Current Result Document :
2
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ÀÌÀü°Ç
ÇѱÛÁ¦¸ñ(Korean Title)
½º¸¶Æ®ÆùÀÇ ¼ÒÁöÀ§Ä¡ ÀÎÁö ±â¹ÝÀÇ Á¤È®ÇÑ º¸Çà¼ö °ËÃâ ±â¹ý
¿µ¹®Á¦¸ñ(English Title)
Accurate Step-Count Detection based on Recognition of Smartphone Hold Position
ÀúÀÚ(Author)
ÇãÅÂÈ£
¿°ÇÏ´Ã
À̽·æ
Taeho Hur
Haneul Yeom
Sungyoung Lee
¿ø¹®¼ö·Ïó(Citation)
VOL 44 NO. 04 PP. 0374 ~ 0382 (2017. 04)
Çѱ۳»¿ë
(Korean Abstract)
°³ÀÎÀÇ °Ç° °ü¸®¸¦ À§ÇØ º¸Çà ¿îµ¿ÀÌ °Á¶µÇ¸é¼ º¸Çà Á¤º¸ ¼ºñ½ºÀÇ ¿ä±¸°¡ ¸¹¾ÆÁö°í ÀÖ´Ù. ÃÖ±Ù ½º¸¶Æ®ÆùÀÌ º¸±ÞµÇ¸é¼ °Ç° °ü¸® º¸Á¶¸¦ À§ÇÑ º¸Çà¼ö ÃøÁ¤ ¾ÛÀÌ °³¹ßµÇ°í ÀÖ´Ù. ±×·¯³ª ±âÁ¸ÀÇ ¾ÛÀº º¸Çà ¿ÜÀÇ ¿òÁ÷ÀÓÀ̳ª Áøµ¿À» º¸ÇàÀ¸·Î ÀÎÁöÇÏ¿© º¸Çà¼ö°¡ Áõ°¡µÇ°Å³ª, ´Ù¾çÇÑ ½º¸¶Æ®Æù ¼ÒÁöÀ§Ä¡¿¡¼ ´Ù¸¥ Á¤È®µµ¸¦ º¸ÀÌ´Â µîÀÇ ¹®Á¦Á¡ÀÌ Á¦±âµÇ¾ú´Ù. º» ³í¹®¿¡¼´Â ÀÌ¿Í °°Àº ¹®Á¦¸¦ ÇØ°áÇϱâ À§ÇØ ½º¸¶Æ®ÆùÀÇ °¡¼Óµµ ¼¾¼¿Í ±ÙÁ¢ ¼¾¼¸¦ ÀÌ¿ëÇÏ¿© ¼ÒÁöÀ§Ä¡¿¡ »ó°ü¾øÀÌ Á¤È®ÇÑ º¸Çà¼ö¸¦ ÃøÁ¤ÇÒ ¼ö ÀÖ´Â ¹æ¾ÈÀ» Á¦¾ÈÇÑ´Ù. À̸¦ À§ÇØ ½º¸¶Æ®ÆùÀÇ 6°¡Áö ¼ÒÁöÀ§Ä¡º° ÀÓ°è°ª ¹üÀ§¸¦ ¼³Á¤ÇÏ¿© ¹Ì°ËÃâ ¹× °ú°ËÃâÀÇ ¿À·ù¸¦ ÃÖ¼ÒÈÇÏ¿´°í ³ëÀÌÁ Á¦°ÅÇϱâ À§ÇØ Àá±Ý±¸°£À» ¼³Á¤ÇÏ´Â ¾Ë°í¸®ÁòÀ» Á¦¾ÈÇÑ´Ù. ±¸Çö °á°ú 6°¡Áö ¼ÒÁöÀ§Ä¡¸¦ ÀνÄÇÏ¿´°í »ó¿ëÈµÈ ¾Û°ú ºñ±³½ÇÇèÀ» ÅëÇÏ¿© Á¦¾ÈÇÏ´Â ±â¹ýÀÇ Á¤È®µµ°¡ ³ôÀ½À» È®ÀÎÇÏ¿´´Ù.
¿µ¹®³»¿ë
(English Abstract)
As the walking exercise is emphasized in personalized healthcare, numerous services demand walking information. Along with the propagation of smartphones nowadays, many step-counter applications have been released. But these applications are error-prone to abnormalmovements such as simple shaking or vibrations; also, different step counts are shown when the phone is positioned in different locations of the body. In this paper, the proposed method accurately counts the steps regardless of the smartphone position by using an accelerometer and a proximity sensor. A threshold is set on each of the six positions to minimize the error of undetection and over-detection, and the cut-off section is set to eliminate any noise. The test results show that the six position type were successfully identified, and through a comparison experiment with the existing application, the proposed technique was verified as superior in terms of accuracy.
Å°¿öµå(Keyword)
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½º¸¶Æ®Æù
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ÆÐÅÏ ÀνÄ
step-count detection
smartphone
hold position
pattern recognition
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