Machine Learning PC METHOD AND SYSTEM USING MACHINE LEARNING FOR CORRECT PC POSTURE CORRECTION
According to a method and a system for correcting a posture, provided are a method and a system for correctly correcting a PC posture using machine learning. The method comprises: a step of recognizing motion of a human body in real time by using a photographing unit; a step of receiving the motion...
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| creator | KIM, SANG GEUN |
| description | According to a method and a system for correcting a posture, provided are a method and a system for correctly correcting a PC posture using machine learning. The method comprises: a step of recognizing motion of a human body in real time by using a photographing unit; a step of receiving the motion to an image receiving unit; a step of designating the received motion to a plurality of points corresponding to a joint part of the human body by using a learning converting unit; a step of constructing a skeleton by connecting the plurality of points to a first line; a step of calculating a slope value of the constructed skeleton with an inverse tangent and converting the same into a radian value; a step of converting the converted radian value into a degree value corresponding to an angle value; and a step of determining whether the degree value corresponds to an ideal angle. The present invention can prevent carpal tunnel syndrome.
자세 교정 방법 및 시스템에 있어서, 촬영부를 이용하여 실시간으로 인체의 모션을 인식하는 동작; 상기 모션을 영상수신부로 수신하는 동작; 상기 수신된 모션을 학습변환부를 이용하여 인체 관절 부분에 해당하는 복수의 지점으로 지정하는 동작; 상기 복수의 지점을 제1 라인으로 이어서 뼈대를 구축하는 동작; 상기 구축된 뼈대의 기울기 값을 역탄젠트로 계산하고, 라디안 값으로 변환하는 동작; 상기 변환된 라디안 값을 각도 값에 해당하는 도(degree) 값으로 환산하는 동작; 및 상기 도(degree) 값이 이상적인 각도에 해당하는지 판단하는 동작; 을 포함하는 머신 러닝을 활용한 올바른 PC 자세 교정 방법 및 시스템. |
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자세 교정 방법 및 시스템에 있어서, 촬영부를 이용하여 실시간으로 인체의 모션을 인식하는 동작; 상기 모션을 영상수신부로 수신하는 동작; 상기 수신된 모션을 학습변환부를 이용하여 인체 관절 부분에 해당하는 복수의 지점으로 지정하는 동작; 상기 복수의 지점을 제1 라인으로 이어서 뼈대를 구축하는 동작; 상기 구축된 뼈대의 기울기 값을 역탄젠트로 계산하고, 라디안 값으로 변환하는 동작; 상기 변환된 라디안 값을 각도 값에 해당하는 도(degree) 값으로 환산하는 동작; 및 상기 도(degree) 값이 이상적인 각도에 해당하는지 판단하는 동작; 을 포함하는 머신 러닝을 활용한 올바른 PC 자세 교정 방법 및 시스템.</description><language>eng ; kor</language><subject>DIAGNOSIS ; HUMAN NECESSITIES ; HYGIENE ; IDENTIFICATION ; MEDICAL OR VETERINARY SCIENCE ; SURGERY</subject><creationdate>2023</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20230601&DB=EPODOC&CC=KR&NR=20230077383A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76290</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20230601&DB=EPODOC&CC=KR&NR=20230077383A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>KIM, SANG GEUN</creatorcontrib><title>Machine Learning PC METHOD AND SYSTEM USING MACHINE LEARNING FOR CORRECT PC POSTURE CORRECTION</title><description>According to a method and a system for correcting a posture, provided are a method and a system for correctly correcting a PC posture using machine learning. The method comprises: a step of recognizing motion of a human body in real time by using a photographing unit; a step of receiving the motion to an image receiving unit; a step of designating the received motion to a plurality of points corresponding to a joint part of the human body by using a learning converting unit; a step of constructing a skeleton by connecting the plurality of points to a first line; a step of calculating a slope value of the constructed skeleton with an inverse tangent and converting the same into a radian value; a step of converting the converted radian value into a degree value corresponding to an angle value; and a step of determining whether the degree value corresponds to an ideal angle. The present invention can prevent carpal tunnel syndrome.
자세 교정 방법 및 시스템에 있어서, 촬영부를 이용하여 실시간으로 인체의 모션을 인식하는 동작; 상기 모션을 영상수신부로 수신하는 동작; 상기 수신된 모션을 학습변환부를 이용하여 인체 관절 부분에 해당하는 복수의 지점으로 지정하는 동작; 상기 복수의 지점을 제1 라인으로 이어서 뼈대를 구축하는 동작; 상기 구축된 뼈대의 기울기 값을 역탄젠트로 계산하고, 라디안 값으로 변환하는 동작; 상기 변환된 라디안 값을 각도 값에 해당하는 도(degree) 값으로 환산하는 동작; 및 상기 도(degree) 값이 이상적인 각도에 해당하는지 판단하는 동작; 을 포함하는 머신 러닝을 활용한 올바른 PC 자세 교정 방법 및 시스템.</description><subject>DIAGNOSIS</subject><subject>HUMAN NECESSITIES</subject><subject>HYGIENE</subject><subject>IDENTIFICATION</subject><subject>MEDICAL OR VETERINARY SCIENCE</subject><subject>SURGERY</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2023</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZIjzTUzOyMxLVfBJTSzKy8xLVwhwVvB1DfHwd1Fw9HNRCI4MDnH1VQgN9vRzV_B1dPbw9HNV8HF1DPIDCbj5Byk4-wcFuTqHgPQF-AeHhAa5woQ8_f14GFjTEnOKU3mhNDeDsptriLOHbmpBfnxqcUFicmpeakm8d5CRgZGxgYG5ubGFsaMxcaoA4kM1OQ</recordid><startdate>20230601</startdate><enddate>20230601</enddate><creator>KIM, SANG GEUN</creator><scope>EVB</scope></search><sort><creationdate>20230601</creationdate><title>Machine Learning PC METHOD AND SYSTEM USING MACHINE LEARNING FOR CORRECT PC POSTURE CORRECTION</title><author>KIM, SANG GEUN</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_KR20230077383A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng ; kor</language><creationdate>2023</creationdate><topic>DIAGNOSIS</topic><topic>HUMAN NECESSITIES</topic><topic>HYGIENE</topic><topic>IDENTIFICATION</topic><topic>MEDICAL OR VETERINARY SCIENCE</topic><topic>SURGERY</topic><toplevel>online_resources</toplevel><creatorcontrib>KIM, SANG GEUN</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>KIM, SANG GEUN</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Machine Learning PC METHOD AND SYSTEM USING MACHINE LEARNING FOR CORRECT PC POSTURE CORRECTION</title><date>2023-06-01</date><risdate>2023</risdate><abstract>According to a method and a system for correcting a posture, provided are a method and a system for correctly correcting a PC posture using machine learning. The method comprises: a step of recognizing motion of a human body in real time by using a photographing unit; a step of receiving the motion to an image receiving unit; a step of designating the received motion to a plurality of points corresponding to a joint part of the human body by using a learning converting unit; a step of constructing a skeleton by connecting the plurality of points to a first line; a step of calculating a slope value of the constructed skeleton with an inverse tangent and converting the same into a radian value; a step of converting the converted radian value into a degree value corresponding to an angle value; and a step of determining whether the degree value corresponds to an ideal angle. The present invention can prevent carpal tunnel syndrome.
자세 교정 방법 및 시스템에 있어서, 촬영부를 이용하여 실시간으로 인체의 모션을 인식하는 동작; 상기 모션을 영상수신부로 수신하는 동작; 상기 수신된 모션을 학습변환부를 이용하여 인체 관절 부분에 해당하는 복수의 지점으로 지정하는 동작; 상기 복수의 지점을 제1 라인으로 이어서 뼈대를 구축하는 동작; 상기 구축된 뼈대의 기울기 값을 역탄젠트로 계산하고, 라디안 값으로 변환하는 동작; 상기 변환된 라디안 값을 각도 값에 해당하는 도(degree) 값으로 환산하는 동작; 및 상기 도(degree) 값이 이상적인 각도에 해당하는지 판단하는 동작; 을 포함하는 머신 러닝을 활용한 올바른 PC 자세 교정 방법 및 시스템.</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | DIAGNOSIS HUMAN NECESSITIES HYGIENE IDENTIFICATION MEDICAL OR VETERINARY SCIENCE SURGERY |
| title | Machine Learning PC METHOD AND SYSTEM USING MACHINE LEARNING FOR CORRECT PC POSTURE CORRECTION |
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