SYSTEM AND METHOD FOR THE ASSESSMENT OF SPECIFIC JOINT MOVEMENTS OF THE HUMAN BODY (Machine-translation by Google Translate, not legally binding)
System and method for the evaluation of specific joint movements of the human body. The method comprises: acquisition (201) of joint movements (202) performed by a user (114) in an exercise; obtaining (203) first patterns of joint movements (204) from expert users corresponding to the exercise perfo...
Gespeichert in:
| Hauptverfasser: | , , , , , , , , |
|---|---|
| Format: | Patent |
| Sprache: | eng ; spa |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | |
|---|---|
| container_issue | |
| container_start_page | |
| container_title | |
| container_volume | |
| creator | García Aracil, Nicolás Manuel Blanco Ivorra, Andrea Barios Heredero, Juan Antonio García Pérez, José V Bertomeu Motos, Arturo Catalán Orts, José María Díez Pomares, Jorge Antonio Lledó Perez, Luis Daniel Ezquerro García, Santiago |
| description | System and method for the evaluation of specific joint movements of the human body. The method comprises: acquisition (201) of joint movements (202) performed by a user (114) in an exercise; obtaining (203) first patterns of joint movements (204) from expert users corresponding to the exercise performed; detection and classification (205) of the exercise by means of a joint analysis of the joint movements (202) acquired using a previously trained machine learning model; obtaining (207) second patterns of joint movements (208) from expert users corresponding to the detected exercise (206); calculation (209) of a first mean distance (X1) between the acquired joint movements (202) and the first joint movement patterns (204); calculation (210) of a second mean distance (X2) between the acquired joint movements (202) and the second joint movement patterns (208); evaluation (211) of the quality of the exercise performed by the user (114) as a function of the first mean distance (X1), of the second mean distance (X2) and the exercise detected (206). (Machine-translation by Google Translate, not legally binding)
Sistema y método para la evaluación de movimientos articulares específicos del cuerpo humano. El método comprende: adquisición (201) de movimientos articulares (202) realizados por un usuario (114) en un ejercicio; obtención (203) de primeros patrones de movimientos articulares (204) de usuarios expertos correspondientes al ejercicio realizado; detección y clasificación (205) del ejercicio mediante un análisis conjunto de los movimientos articulares (202) adquiridos utilizando un modelo de aprendizaje automático previamente entrenado; obtención (207) de segundos patrones de movimientos articulares (208) de usuarios expertos correspondientes al ejercicio detectado (206); cálculo (209) de una primera distancia media (X1) entre los movimientos articulares (202) adquiridos y los primeros patrones de movimientos articulares (204); cálculo (210) de una segunda distancia media (X2) entre los movimientos articulares (202) adquiridos y los segundos patrones de movimientos articulares (208); evaluación (211) de la calidad del ejercicio realizado por el usuario (114) en función de la primera distancia media (X1), de la segunda distancia media (X2) y del ejercicio detectado (206). |
| format | Patent |
| fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_ES2886261A1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>ES2886261A1</sourcerecordid><originalsourceid>FETCH-epo_espacenet_ES2886261A13</originalsourceid><addsrcrecordid>eNqNisFqg0AURd1kEZr-w122UBexINlafUYL44S8aSGrMLGvVhhmQnTjZ_SPW8EPyOrAOWcd_fKJDSlkTQFFptIFSn2EqQgZMzEragx0CT5QXpd1jndd_xulP2lOPLf5rj5U1uBNFyc8Kdv-9F7i8Wb94OzYB4_LhH0InROYxcoLfBjhpLPOTbj0_qv33fMmWn1bN8jjwocIJZm8iuUazjJcbStexjNxstulSbrNtq93LH-p8EYz</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>SYSTEM AND METHOD FOR THE ASSESSMENT OF SPECIFIC JOINT MOVEMENTS OF THE HUMAN BODY (Machine-translation by Google Translate, not legally binding)</title><source>esp@cenet</source><creator>García Aracil, Nicolás Manuel ; Blanco Ivorra, Andrea ; Barios Heredero, Juan Antonio ; García Pérez, José V ; Bertomeu Motos, Arturo ; Catalán Orts, José María ; Díez Pomares, Jorge Antonio ; Lledó Perez, Luis Daniel ; Ezquerro García, Santiago</creator><creatorcontrib>García Aracil, Nicolás Manuel ; Blanco Ivorra, Andrea ; Barios Heredero, Juan Antonio ; García Pérez, José V ; Bertomeu Motos, Arturo ; Catalán Orts, José María ; Díez Pomares, Jorge Antonio ; Lledó Perez, Luis Daniel ; Ezquerro García, Santiago</creatorcontrib><description>System and method for the evaluation of specific joint movements of the human body. The method comprises: acquisition (201) of joint movements (202) performed by a user (114) in an exercise; obtaining (203) first patterns of joint movements (204) from expert users corresponding to the exercise performed; detection and classification (205) of the exercise by means of a joint analysis of the joint movements (202) acquired using a previously trained machine learning model; obtaining (207) second patterns of joint movements (208) from expert users corresponding to the detected exercise (206); calculation (209) of a first mean distance (X1) between the acquired joint movements (202) and the first joint movement patterns (204); calculation (210) of a second mean distance (X2) between the acquired joint movements (202) and the second joint movement patterns (208); evaluation (211) of the quality of the exercise performed by the user (114) as a function of the first mean distance (X1), of the second mean distance (X2) and the exercise detected (206). (Machine-translation by Google Translate, not legally binding)
Sistema y método para la evaluación de movimientos articulares específicos del cuerpo humano. El método comprende: adquisición (201) de movimientos articulares (202) realizados por un usuario (114) en un ejercicio; obtención (203) de primeros patrones de movimientos articulares (204) de usuarios expertos correspondientes al ejercicio realizado; detección y clasificación (205) del ejercicio mediante un análisis conjunto de los movimientos articulares (202) adquiridos utilizando un modelo de aprendizaje automático previamente entrenado; obtención (207) de segundos patrones de movimientos articulares (208) de usuarios expertos correspondientes al ejercicio detectado (206); cálculo (209) de una primera distancia media (X1) entre los movimientos articulares (202) adquiridos y los primeros patrones de movimientos articulares (204); cálculo (210) de una segunda distancia media (X2) entre los movimientos articulares (202) adquiridos y los segundos patrones de movimientos articulares (208); evaluación (211) de la calidad del ejercicio realizado por el usuario (114) en función de la primera distancia media (X1), de la segunda distancia media (X2) y del ejercicio detectado (206).</description><language>eng ; spa</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; DIAGNOSIS ; HANDLING RECORD CARRIERS ; HUMAN NECESSITIES ; HYGIENE ; IDENTIFICATION ; MEDICAL OR VETERINARY SCIENCE ; PHYSICS ; PRESENTATION OF DATA ; RECOGNITION OF DATA ; RECORD CARRIERS ; SURGERY</subject><creationdate>2021</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=20211216&DB=EPODOC&CC=ES&NR=2886261A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76289</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20211216&DB=EPODOC&CC=ES&NR=2886261A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>García Aracil, Nicolás Manuel</creatorcontrib><creatorcontrib>Blanco Ivorra, Andrea</creatorcontrib><creatorcontrib>Barios Heredero, Juan Antonio</creatorcontrib><creatorcontrib>García Pérez, José V</creatorcontrib><creatorcontrib>Bertomeu Motos, Arturo</creatorcontrib><creatorcontrib>Catalán Orts, José María</creatorcontrib><creatorcontrib>Díez Pomares, Jorge Antonio</creatorcontrib><creatorcontrib>Lledó Perez, Luis Daniel</creatorcontrib><creatorcontrib>Ezquerro García, Santiago</creatorcontrib><title>SYSTEM AND METHOD FOR THE ASSESSMENT OF SPECIFIC JOINT MOVEMENTS OF THE HUMAN BODY (Machine-translation by Google Translate, not legally binding)</title><description>System and method for the evaluation of specific joint movements of the human body. The method comprises: acquisition (201) of joint movements (202) performed by a user (114) in an exercise; obtaining (203) first patterns of joint movements (204) from expert users corresponding to the exercise performed; detection and classification (205) of the exercise by means of a joint analysis of the joint movements (202) acquired using a previously trained machine learning model; obtaining (207) second patterns of joint movements (208) from expert users corresponding to the detected exercise (206); calculation (209) of a first mean distance (X1) between the acquired joint movements (202) and the first joint movement patterns (204); calculation (210) of a second mean distance (X2) between the acquired joint movements (202) and the second joint movement patterns (208); evaluation (211) of the quality of the exercise performed by the user (114) as a function of the first mean distance (X1), of the second mean distance (X2) and the exercise detected (206). (Machine-translation by Google Translate, not legally binding)
Sistema y método para la evaluación de movimientos articulares específicos del cuerpo humano. El método comprende: adquisición (201) de movimientos articulares (202) realizados por un usuario (114) en un ejercicio; obtención (203) de primeros patrones de movimientos articulares (204) de usuarios expertos correspondientes al ejercicio realizado; detección y clasificación (205) del ejercicio mediante un análisis conjunto de los movimientos articulares (202) adquiridos utilizando un modelo de aprendizaje automático previamente entrenado; obtención (207) de segundos patrones de movimientos articulares (208) de usuarios expertos correspondientes al ejercicio detectado (206); cálculo (209) de una primera distancia media (X1) entre los movimientos articulares (202) adquiridos y los primeros patrones de movimientos articulares (204); cálculo (210) de una segunda distancia media (X2) entre los movimientos articulares (202) adquiridos y los segundos patrones de movimientos articulares (208); evaluación (211) de la calidad del ejercicio realizado por el usuario (114) en función de la primera distancia media (X1), de la segunda distancia media (X2) y del ejercicio detectado (206).</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>DIAGNOSIS</subject><subject>HANDLING RECORD CARRIERS</subject><subject>HUMAN NECESSITIES</subject><subject>HYGIENE</subject><subject>IDENTIFICATION</subject><subject>MEDICAL OR VETERINARY SCIENCE</subject><subject>PHYSICS</subject><subject>PRESENTATION OF DATA</subject><subject>RECOGNITION OF DATA</subject><subject>RECORD CARRIERS</subject><subject>SURGERY</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2021</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNisFqg0AURd1kEZr-w122UBexINlafUYL44S8aSGrMLGvVhhmQnTjZ_SPW8EPyOrAOWcd_fKJDSlkTQFFptIFSn2EqQgZMzEragx0CT5QXpd1jndd_xulP2lOPLf5rj5U1uBNFyc8Kdv-9F7i8Wb94OzYB4_LhH0InROYxcoLfBjhpLPOTbj0_qv33fMmWn1bN8jjwocIJZm8iuUazjJcbStexjNxstulSbrNtq93LH-p8EYz</recordid><startdate>20211216</startdate><enddate>20211216</enddate><creator>García Aracil, Nicolás Manuel</creator><creator>Blanco Ivorra, Andrea</creator><creator>Barios Heredero, Juan Antonio</creator><creator>García Pérez, José V</creator><creator>Bertomeu Motos, Arturo</creator><creator>Catalán Orts, José María</creator><creator>Díez Pomares, Jorge Antonio</creator><creator>Lledó Perez, Luis Daniel</creator><creator>Ezquerro García, Santiago</creator><scope>EVB</scope></search><sort><creationdate>20211216</creationdate><title>SYSTEM AND METHOD FOR THE ASSESSMENT OF SPECIFIC JOINT MOVEMENTS OF THE HUMAN BODY (Machine-translation by Google Translate, not legally binding)</title><author>García Aracil, Nicolás Manuel ; Blanco Ivorra, Andrea ; Barios Heredero, Juan Antonio ; García Pérez, José V ; Bertomeu Motos, Arturo ; Catalán Orts, José María ; Díez Pomares, Jorge Antonio ; Lledó Perez, Luis Daniel ; Ezquerro García, Santiago</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_ES2886261A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng ; spa</language><creationdate>2021</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>DIAGNOSIS</topic><topic>HANDLING RECORD CARRIERS</topic><topic>HUMAN NECESSITIES</topic><topic>HYGIENE</topic><topic>IDENTIFICATION</topic><topic>MEDICAL OR VETERINARY SCIENCE</topic><topic>PHYSICS</topic><topic>PRESENTATION OF DATA</topic><topic>RECOGNITION OF DATA</topic><topic>RECORD CARRIERS</topic><topic>SURGERY</topic><toplevel>online_resources</toplevel><creatorcontrib>García Aracil, Nicolás Manuel</creatorcontrib><creatorcontrib>Blanco Ivorra, Andrea</creatorcontrib><creatorcontrib>Barios Heredero, Juan Antonio</creatorcontrib><creatorcontrib>García Pérez, José V</creatorcontrib><creatorcontrib>Bertomeu Motos, Arturo</creatorcontrib><creatorcontrib>Catalán Orts, José María</creatorcontrib><creatorcontrib>Díez Pomares, Jorge Antonio</creatorcontrib><creatorcontrib>Lledó Perez, Luis Daniel</creatorcontrib><creatorcontrib>Ezquerro García, Santiago</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>García Aracil, Nicolás Manuel</au><au>Blanco Ivorra, Andrea</au><au>Barios Heredero, Juan Antonio</au><au>García Pérez, José V</au><au>Bertomeu Motos, Arturo</au><au>Catalán Orts, José María</au><au>Díez Pomares, Jorge Antonio</au><au>Lledó Perez, Luis Daniel</au><au>Ezquerro García, Santiago</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>SYSTEM AND METHOD FOR THE ASSESSMENT OF SPECIFIC JOINT MOVEMENTS OF THE HUMAN BODY (Machine-translation by Google Translate, not legally binding)</title><date>2021-12-16</date><risdate>2021</risdate><abstract>System and method for the evaluation of specific joint movements of the human body. The method comprises: acquisition (201) of joint movements (202) performed by a user (114) in an exercise; obtaining (203) first patterns of joint movements (204) from expert users corresponding to the exercise performed; detection and classification (205) of the exercise by means of a joint analysis of the joint movements (202) acquired using a previously trained machine learning model; obtaining (207) second patterns of joint movements (208) from expert users corresponding to the detected exercise (206); calculation (209) of a first mean distance (X1) between the acquired joint movements (202) and the first joint movement patterns (204); calculation (210) of a second mean distance (X2) between the acquired joint movements (202) and the second joint movement patterns (208); evaluation (211) of the quality of the exercise performed by the user (114) as a function of the first mean distance (X1), of the second mean distance (X2) and the exercise detected (206). (Machine-translation by Google Translate, not legally binding)
Sistema y método para la evaluación de movimientos articulares específicos del cuerpo humano. El método comprende: adquisición (201) de movimientos articulares (202) realizados por un usuario (114) en un ejercicio; obtención (203) de primeros patrones de movimientos articulares (204) de usuarios expertos correspondientes al ejercicio realizado; detección y clasificación (205) del ejercicio mediante un análisis conjunto de los movimientos articulares (202) adquiridos utilizando un modelo de aprendizaje automático previamente entrenado; obtención (207) de segundos patrones de movimientos articulares (208) de usuarios expertos correspondientes al ejercicio detectado (206); cálculo (209) de una primera distancia media (X1) entre los movimientos articulares (202) adquiridos y los primeros patrones de movimientos articulares (204); cálculo (210) de una segunda distancia media (X2) entre los movimientos articulares (202) adquiridos y los segundos patrones de movimientos articulares (208); evaluación (211) de la calidad del ejercicio realizado por el usuario (114) en función de la primera distancia media (X1), de la segunda distancia media (X2) y del ejercicio detectado (206).</abstract><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | |
| ispartof | |
| issn | |
| language | eng ; spa |
| recordid | cdi_epo_espacenet_ES2886261A1 |
| source | esp@cenet |
| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DIAGNOSIS HANDLING RECORD CARRIERS HUMAN NECESSITIES HYGIENE IDENTIFICATION MEDICAL OR VETERINARY SCIENCE PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS SURGERY |
| title | SYSTEM AND METHOD FOR THE ASSESSMENT OF SPECIFIC JOINT MOVEMENTS OF THE HUMAN BODY (Machine-translation by Google Translate, not legally binding) |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-04T22%3A26%3A01IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=Garc%C3%ADa%20Aracil,%20Nicol%C3%A1s%20Manuel&rft.date=2021-12-16&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3EES2886261A1%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |