METHOD FOR PROVIDING EXERCISE LOAD INFORMATION
Provided is a method for providing exercise load information for a target entity. The method comprises: acquiring a target data set for a target entity during a target workout session comprising a plurality of time units, wherein the target data set includes a sequence of kinematic information of th...
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| creator | KIM, Jeong Bin LEE, Jong Hyun YOON, Jin Sung LEE, Jae Chan KIM, Hyun Sung KO, Sang Ki |
| description | Provided is a method for providing exercise load information for a target entity. The method comprises: acquiring a target data set for a target entity during a target workout session comprising a plurality of time units, wherein the target data set includes a sequence of kinematic information of the target entity for each of the plurality of time units; and determining an estimated load index for the target entity from the target data set by using an artificial neural network, wherein the estimated load index reflects the exercise load of the target workout session.
L'invention concerne un procédé de fourniture d'informations de charge d'exercice pour une entité cible. Le procédé comprend les étapes consistant : à acquérir un ensemble de données cibles pour une entité cible pendant une séance d'entraînement cible comprenant une pluralité d'unités temporelles, l'ensemble de données cibles comprenant une séquence d'informations cinématiques de l'entité cible pour chaque unité temporelle de la pluralité d'unités temporelles ; et à déterminer un indice de charge estimé pour l'entité cible à partir de l'ensemble de données cibles à l'aide d'un réseau neuronal artificiel, l'indice de charge estimé reflétant la charge d'exercice de la séance d'entraînement cible.
타겟 엔티티에 대한 운동 부하 정보를 제공하는 방법이 제공된다. 방법은, 복수의 시간 유닛을 포함하는 타겟 운동 세션 동안의 타겟 엔티티에 대한 타겟 데이터 셋 - 상기 타겟 데이터 셋은, 상기 복수의 시간 유닛들 각각에 대한 상기 타겟 엔티티의 운동학적 정보 (kinematic information) 의 시퀀스를 포함함 - 를 획득하는 단계 및 상기 타겟 데이터 셋으로부터, 인공 신경망을 이용하여, 상기 타겟 엔티티에 대한 상기 타겟 운동 세션의 운동 부하 정도를 반영하는 추정 부하 인덱스 (estimated load index) 를 결정하는 단계를 포함한다. |
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L'invention concerne un procédé de fourniture d'informations de charge d'exercice pour une entité cible. Le procédé comprend les étapes consistant : à acquérir un ensemble de données cibles pour une entité cible pendant une séance d'entraînement cible comprenant une pluralité d'unités temporelles, l'ensemble de données cibles comprenant une séquence d'informations cinématiques de l'entité cible pour chaque unité temporelle de la pluralité d'unités temporelles ; et à déterminer un indice de charge estimé pour l'entité cible à partir de l'ensemble de données cibles à l'aide d'un réseau neuronal artificiel, l'indice de charge estimé reflétant la charge d'exercice de la séance d'entraînement cible.
타겟 엔티티에 대한 운동 부하 정보를 제공하는 방법이 제공된다. 방법은, 복수의 시간 유닛을 포함하는 타겟 운동 세션 동안의 타겟 엔티티에 대한 타겟 데이터 셋 - 상기 타겟 데이터 셋은, 상기 복수의 시간 유닛들 각각에 대한 상기 타겟 엔티티의 운동학적 정보 (kinematic information) 의 시퀀스를 포함함 - 를 획득하는 단계 및 상기 타겟 데이터 셋으로부터, 인공 신경망을 이용하여, 상기 타겟 엔티티에 대한 상기 타겟 운동 세션의 운동 부하 정도를 반영하는 추정 부하 인덱스 (estimated load index) 를 결정하는 단계를 포함한다.</description><language>eng ; fre ; kor</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; DIAGNOSIS ; HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA ; HUMAN NECESSITIES ; HYGIENE ; IDENTIFICATION ; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS ; MEDICAL OR VETERINARY SCIENCE ; PHYSICS ; 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=20230309&DB=EPODOC&CC=WO&NR=2023033459A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76289</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20230309&DB=EPODOC&CC=WO&NR=2023033459A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>KIM, Jeong Bin</creatorcontrib><creatorcontrib>LEE, Jong Hyun</creatorcontrib><creatorcontrib>YOON, Jin Sung</creatorcontrib><creatorcontrib>LEE, Jae Chan</creatorcontrib><creatorcontrib>KIM, Hyun Sung</creatorcontrib><creatorcontrib>KO, Sang Ki</creatorcontrib><title>METHOD FOR PROVIDING EXERCISE LOAD INFORMATION</title><description>Provided is a method for providing exercise load information for a target entity. The method comprises: acquiring a target data set for a target entity during a target workout session comprising a plurality of time units, wherein the target data set includes a sequence of kinematic information of the target entity for each of the plurality of time units; and determining an estimated load index for the target entity from the target data set by using an artificial neural network, wherein the estimated load index reflects the exercise load of the target workout session.
L'invention concerne un procédé de fourniture d'informations de charge d'exercice pour une entité cible. Le procédé comprend les étapes consistant : à acquérir un ensemble de données cibles pour une entité cible pendant une séance d'entraînement cible comprenant une pluralité d'unités temporelles, l'ensemble de données cibles comprenant une séquence d'informations cinématiques de l'entité cible pour chaque unité temporelle de la pluralité d'unités temporelles ; et à déterminer un indice de charge estimé pour l'entité cible à partir de l'ensemble de données cibles à l'aide d'un réseau neuronal artificiel, l'indice de charge estimé reflétant la charge d'exercice de la séance d'entraînement cible.
타겟 엔티티에 대한 운동 부하 정보를 제공하는 방법이 제공된다. 방법은, 복수의 시간 유닛을 포함하는 타겟 운동 세션 동안의 타겟 엔티티에 대한 타겟 데이터 셋 - 상기 타겟 데이터 셋은, 상기 복수의 시간 유닛들 각각에 대한 상기 타겟 엔티티의 운동학적 정보 (kinematic information) 의 시퀀스를 포함함 - 를 획득하는 단계 및 상기 타겟 데이터 셋으로부터, 인공 신경망을 이용하여, 상기 타겟 엔티티에 대한 상기 타겟 운동 세션의 운동 부하 정도를 반영하는 추정 부하 인덱스 (estimated load index) 를 결정하는 단계를 포함한다.</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>DIAGNOSIS</subject><subject>HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA</subject><subject>HUMAN NECESSITIES</subject><subject>HYGIENE</subject><subject>IDENTIFICATION</subject><subject>INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS</subject><subject>MEDICAL OR VETERINARY SCIENCE</subject><subject>PHYSICS</subject><subject>SURGERY</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2023</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZNDzdQ3x8HdRcPMPUggI8g_zdPH0c1dwjXANcvYMdlXw8Xd0UfD0A8r6OoZ4-vvxMLCmJeYUp_JCaW4GZTfXEGcP3dSC_PjU4oLE5NS81JL4cH8jAyNjA2NjE1NLR0Nj4lQBAIEpJrs</recordid><startdate>20230309</startdate><enddate>20230309</enddate><creator>KIM, Jeong Bin</creator><creator>LEE, Jong Hyun</creator><creator>YOON, Jin Sung</creator><creator>LEE, Jae Chan</creator><creator>KIM, Hyun Sung</creator><creator>KO, Sang Ki</creator><scope>EVB</scope></search><sort><creationdate>20230309</creationdate><title>METHOD FOR PROVIDING EXERCISE LOAD INFORMATION</title><author>KIM, Jeong Bin ; LEE, Jong Hyun ; YOON, Jin Sung ; LEE, Jae Chan ; KIM, Hyun Sung ; KO, Sang Ki</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_WO2023033459A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng ; fre ; kor</language><creationdate>2023</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>DIAGNOSIS</topic><topic>HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA</topic><topic>HUMAN NECESSITIES</topic><topic>HYGIENE</topic><topic>IDENTIFICATION</topic><topic>INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS</topic><topic>MEDICAL OR VETERINARY SCIENCE</topic><topic>PHYSICS</topic><topic>SURGERY</topic><toplevel>online_resources</toplevel><creatorcontrib>KIM, Jeong Bin</creatorcontrib><creatorcontrib>LEE, Jong Hyun</creatorcontrib><creatorcontrib>YOON, Jin Sung</creatorcontrib><creatorcontrib>LEE, Jae Chan</creatorcontrib><creatorcontrib>KIM, Hyun Sung</creatorcontrib><creatorcontrib>KO, Sang Ki</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>KIM, Jeong Bin</au><au>LEE, Jong Hyun</au><au>YOON, Jin Sung</au><au>LEE, Jae Chan</au><au>KIM, Hyun Sung</au><au>KO, Sang Ki</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>METHOD FOR PROVIDING EXERCISE LOAD INFORMATION</title><date>2023-03-09</date><risdate>2023</risdate><abstract>Provided is a method for providing exercise load information for a target entity. The method comprises: acquiring a target data set for a target entity during a target workout session comprising a plurality of time units, wherein the target data set includes a sequence of kinematic information of the target entity for each of the plurality of time units; and determining an estimated load index for the target entity from the target data set by using an artificial neural network, wherein the estimated load index reflects the exercise load of the target workout session.
L'invention concerne un procédé de fourniture d'informations de charge d'exercice pour une entité cible. Le procédé comprend les étapes consistant : à acquérir un ensemble de données cibles pour une entité cible pendant une séance d'entraînement cible comprenant une pluralité d'unités temporelles, l'ensemble de données cibles comprenant une séquence d'informations cinématiques de l'entité cible pour chaque unité temporelle de la pluralité d'unités temporelles ; et à déterminer un indice de charge estimé pour l'entité cible à partir de l'ensemble de données cibles à l'aide d'un réseau neuronal artificiel, l'indice de charge estimé reflétant la charge d'exercice de la séance d'entraînement cible.
타겟 엔티티에 대한 운동 부하 정보를 제공하는 방법이 제공된다. 방법은, 복수의 시간 유닛을 포함하는 타겟 운동 세션 동안의 타겟 엔티티에 대한 타겟 데이터 셋 - 상기 타겟 데이터 셋은, 상기 복수의 시간 유닛들 각각에 대한 상기 타겟 엔티티의 운동학적 정보 (kinematic information) 의 시퀀스를 포함함 - 를 획득하는 단계 및 상기 타겟 데이터 셋으로부터, 인공 신경망을 이용하여, 상기 타겟 엔티티에 대한 상기 타겟 운동 세션의 운동 부하 정도를 반영하는 추정 부하 인덱스 (estimated load index) 를 결정하는 단계를 포함한다.</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DIAGNOSIS HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA HUMAN NECESSITIES HYGIENE IDENTIFICATION INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS MEDICAL OR VETERINARY SCIENCE PHYSICS SURGERY |
| title | METHOD FOR PROVIDING EXERCISE LOAD INFORMATION |
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