Obesity analysis intervention method for obese college students
The invention discloses an obesity analysis intervention method for obese college students. The method comprises the following steps of S1, obtaining an image of a part where an obese person wants tolose weight, and defining a plurality of obesity regions at the part, S2, marking a plurality of key...
Gespeichert in:
Hauptverfasser: | , , , |
---|---|
Format: | Patent |
Sprache: | chi ; eng |
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 | SU WEIFENG HAN DONGQI PING YI YIN JIESEN |
description | The invention discloses an obesity analysis intervention method for obese college students. The method comprises the following steps of S1, obtaining an image of a part where an obese person wants tolose weight, and defining a plurality of obesity regions at the part, S2, marking a plurality of key points in each obesity region, and calculating the voxel probability of each key point in each obesity region to obtain a voxel probability set of each obesity region, S3, constructing a standard voxel model of the part of the obese person, S4, calculating the difference between the voxel probability of each obese area of the obese person and the voxel probability of each obese area of the standard voxel model through KL divergence, and outputting a difference result, and S5, making a motion intervention plan according to the difference result. According to the method, the voxel probability set of each obesity region is obtained, and the difference between the voxel probability of each obesity region and the standa |
format | Patent |
fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN112116984A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN112116984A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN112116984A3</originalsourceid><addsrcrecordid>eNrjZLD3T0otziypVEjMS8ypLM4sVsjMK0ktKkvNK8nMz1PITS3JyE9RSMsvUsgHKkxVSM7PyUlNT1UoLilNAaop5mFgTUvMKU7lhdLcDIpuriHOHrqpBfnxqcUFicmpeakl8c5-hoZGhoZmlhYmjsbEqAEA5bAxmw</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Obesity analysis intervention method for obese college students</title><source>esp@cenet</source><creator>SU WEIFENG ; HAN DONGQI ; PING YI ; YIN JIESEN</creator><creatorcontrib>SU WEIFENG ; HAN DONGQI ; PING YI ; YIN JIESEN</creatorcontrib><description>The invention discloses an obesity analysis intervention method for obese college students. The method comprises the following steps of S1, obtaining an image of a part where an obese person wants tolose weight, and defining a plurality of obesity regions at the part, S2, marking a plurality of key points in each obesity region, and calculating the voxel probability of each key point in each obesity region to obtain a voxel probability set of each obesity region, S3, constructing a standard voxel model of the part of the obese person, S4, calculating the difference between the voxel probability of each obese area of the obese person and the voxel probability of each obese area of the standard voxel model through KL divergence, and outputting a difference result, and S5, making a motion intervention plan according to the difference result. According to the method, the voxel probability set of each obesity region is obtained, and the difference between the voxel probability of each obesity region and the standa</description><language>chi ; eng</language><subject>HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA ; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS ; PHYSICS</subject><creationdate>2020</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=20201222&DB=EPODOC&CC=CN&NR=112116984A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20201222&DB=EPODOC&CC=CN&NR=112116984A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>SU WEIFENG</creatorcontrib><creatorcontrib>HAN DONGQI</creatorcontrib><creatorcontrib>PING YI</creatorcontrib><creatorcontrib>YIN JIESEN</creatorcontrib><title>Obesity analysis intervention method for obese college students</title><description>The invention discloses an obesity analysis intervention method for obese college students. The method comprises the following steps of S1, obtaining an image of a part where an obese person wants tolose weight, and defining a plurality of obesity regions at the part, S2, marking a plurality of key points in each obesity region, and calculating the voxel probability of each key point in each obesity region to obtain a voxel probability set of each obesity region, S3, constructing a standard voxel model of the part of the obese person, S4, calculating the difference between the voxel probability of each obese area of the obese person and the voxel probability of each obese area of the standard voxel model through KL divergence, and outputting a difference result, and S5, making a motion intervention plan according to the difference result. According to the method, the voxel probability set of each obesity region is obtained, and the difference between the voxel probability of each obesity region and the standa</description><subject>HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA</subject><subject>INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2020</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZLD3T0otziypVEjMS8ypLM4sVsjMK0ktKkvNK8nMz1PITS3JyE9RSMsvUsgHKkxVSM7PyUlNT1UoLilNAaop5mFgTUvMKU7lhdLcDIpuriHOHrqpBfnxqcUFicmpeakl8c5-hoZGhoZmlhYmjsbEqAEA5bAxmw</recordid><startdate>20201222</startdate><enddate>20201222</enddate><creator>SU WEIFENG</creator><creator>HAN DONGQI</creator><creator>PING YI</creator><creator>YIN JIESEN</creator><scope>EVB</scope></search><sort><creationdate>20201222</creationdate><title>Obesity analysis intervention method for obese college students</title><author>SU WEIFENG ; HAN DONGQI ; PING YI ; YIN JIESEN</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN112116984A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2020</creationdate><topic>HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA</topic><topic>INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>SU WEIFENG</creatorcontrib><creatorcontrib>HAN DONGQI</creatorcontrib><creatorcontrib>PING YI</creatorcontrib><creatorcontrib>YIN JIESEN</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>SU WEIFENG</au><au>HAN DONGQI</au><au>PING YI</au><au>YIN JIESEN</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Obesity analysis intervention method for obese college students</title><date>2020-12-22</date><risdate>2020</risdate><abstract>The invention discloses an obesity analysis intervention method for obese college students. The method comprises the following steps of S1, obtaining an image of a part where an obese person wants tolose weight, and defining a plurality of obesity regions at the part, S2, marking a plurality of key points in each obesity region, and calculating the voxel probability of each key point in each obesity region to obtain a voxel probability set of each obesity region, S3, constructing a standard voxel model of the part of the obese person, S4, calculating the difference between the voxel probability of each obese area of the obese person and the voxel probability of each obese area of the standard voxel model through KL divergence, and outputting a difference result, and S5, making a motion intervention plan according to the difference result. According to the method, the voxel probability set of each obesity region is obtained, and the difference between the voxel probability of each obesity region and the standa</abstract><oa>free_for_read</oa></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | |
ispartof | |
issn | |
language | chi ; eng |
recordid | cdi_epo_espacenet_CN112116984A |
source | esp@cenet |
subjects | HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS PHYSICS |
title | Obesity analysis intervention method for obese college students |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-03T23%3A46%3A58IST&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=SU%20WEIFENG&rft.date=2020-12-22&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN112116984A%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 |