Fitness scheme recommendation method based on AKC model
The invention discloses a fitness scheme recommendation method based on an AKC (automatic encoder and K-means algorithm) model, and the method comprises the steps: obtaining the near-infrared spectrumdata of a to-be-detected part of a human body, and importing the near-infrared spectrum data into a...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| 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 | XIONG JUNCAI |
| description | The invention discloses a fitness scheme recommendation method based on an AKC (automatic encoder and K-means algorithm) model, and the method comprises the steps: obtaining the near-infrared spectrumdata of a to-be-detected part of a human body, and importing the near-infrared spectrum data into a body fat detection model based on a plurality of types of inputted data: age, gender, weight, threecircumferences, arm circumferences and leg circumferences; and inputting the data into an automatic encoder based on a full-connection neural network to obtain a low-dimensional feature vector matrixof the user, and inputting the low-dimensional feature vector matrix of the user into a classification model based on a K-Means algorithm to obtain the body type of the user. A fitness scheme is setinto a scheme module according to the body type and various exercise expectations of the user; and finally, according to the body type and the exercise expectation of the user and based on scheme modules, the fitness scheme is o |
| format | Patent |
| fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN111640483A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN111640483A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN111640483A3</originalsourceid><addsrcrecordid>eNrjZDB3yyzJSy0uVihOzkjNTVUoSk3Oz81NzUtJLMnMz1PITS3JyE9RSEosTk1RAPIdvZ0VcvNTUnN4GFjTEnOKU3mhNDeDoptriLOHbmpBfnxqcUFicmpeakm8s5-hoaGZiYGJhbGjMTFqAKZ_LVk</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Fitness scheme recommendation method based on AKC model</title><source>esp@cenet</source><creator>XIONG JUNCAI</creator><creatorcontrib>XIONG JUNCAI</creatorcontrib><description>The invention discloses a fitness scheme recommendation method based on an AKC (automatic encoder and K-means algorithm) model, and the method comprises the steps: obtaining the near-infrared spectrumdata of a to-be-detected part of a human body, and importing the near-infrared spectrum data into a body fat detection model based on a plurality of types of inputted data: age, gender, weight, threecircumferences, arm circumferences and leg circumferences; and inputting the data into an automatic encoder based on a full-connection neural network to obtain a low-dimensional feature vector matrixof the user, and inputting the low-dimensional feature vector matrix of the user into a classification model based on a K-Means algorithm to obtain the body type of the user. A fitness scheme is setinto a scheme module according to the body type and various exercise expectations of the user; and finally, according to the body type and the exercise expectation of the user and based on scheme modules, the fitness scheme is o</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; HANDLING RECORD CARRIERS ; 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 ; PRESENTATION OF DATA ; RECOGNITION OF DATA ; RECORD CARRIERS</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=20200908&DB=EPODOC&CC=CN&NR=111640483A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20200908&DB=EPODOC&CC=CN&NR=111640483A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>XIONG JUNCAI</creatorcontrib><title>Fitness scheme recommendation method based on AKC model</title><description>The invention discloses a fitness scheme recommendation method based on an AKC (automatic encoder and K-means algorithm) model, and the method comprises the steps: obtaining the near-infrared spectrumdata of a to-be-detected part of a human body, and importing the near-infrared spectrum data into a body fat detection model based on a plurality of types of inputted data: age, gender, weight, threecircumferences, arm circumferences and leg circumferences; and inputting the data into an automatic encoder based on a full-connection neural network to obtain a low-dimensional feature vector matrixof the user, and inputting the low-dimensional feature vector matrix of the user into a classification model based on a K-Means algorithm to obtain the body type of the user. A fitness scheme is setinto a scheme module according to the body type and various exercise expectations of the user; and finally, according to the body type and the exercise expectation of the user and based on scheme modules, the fitness scheme is o</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>HANDLING RECORD CARRIERS</subject><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><subject>PRESENTATION OF DATA</subject><subject>RECOGNITION OF DATA</subject><subject>RECORD CARRIERS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2020</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZDB3yyzJSy0uVihOzkjNTVUoSk3Oz81NzUtJLMnMz1PITS3JyE9RSEosTk1RAPIdvZ0VcvNTUnN4GFjTEnOKU3mhNDeDoptriLOHbmpBfnxqcUFicmpeakm8s5-hoaGZiYGJhbGjMTFqAKZ_LVk</recordid><startdate>20200908</startdate><enddate>20200908</enddate><creator>XIONG JUNCAI</creator><scope>EVB</scope></search><sort><creationdate>20200908</creationdate><title>Fitness scheme recommendation method based on AKC model</title><author>XIONG JUNCAI</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN111640483A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2020</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>HANDLING RECORD CARRIERS</topic><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><topic>PRESENTATION OF DATA</topic><topic>RECOGNITION OF DATA</topic><topic>RECORD CARRIERS</topic><toplevel>online_resources</toplevel><creatorcontrib>XIONG JUNCAI</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>XIONG JUNCAI</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Fitness scheme recommendation method based on AKC model</title><date>2020-09-08</date><risdate>2020</risdate><abstract>The invention discloses a fitness scheme recommendation method based on an AKC (automatic encoder and K-means algorithm) model, and the method comprises the steps: obtaining the near-infrared spectrumdata of a to-be-detected part of a human body, and importing the near-infrared spectrum data into a body fat detection model based on a plurality of types of inputted data: age, gender, weight, threecircumferences, arm circumferences and leg circumferences; and inputting the data into an automatic encoder based on a full-connection neural network to obtain a low-dimensional feature vector matrixof the user, and inputting the low-dimensional feature vector matrix of the user into a classification model based on a K-Means algorithm to obtain the body type of the user. A fitness scheme is setinto a scheme module according to the body type and various exercise expectations of the user; and finally, according to the body type and the exercise expectation of the user and based on scheme modules, the fitness scheme is o</abstract><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | |
| ispartof | |
| issn | |
| language | chi ; eng |
| recordid | cdi_epo_espacenet_CN111640483A |
| source | esp@cenet |
| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING HANDLING RECORD CARRIERS 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 PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS |
| title | Fitness scheme recommendation method based on AKC model |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-19T04%3A58%3A43IST&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=XIONG%20JUNCAI&rft.date=2020-09-08&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN111640483A%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 |