Concentration recognition method, device and equipment and computer storage medium

The invention provides a concentration degree recognition method, device and equipment and a computer storage medium, and the method comprises the steps: obtaining a face image and the concentration degree, and obtaining a face image through the face image; performing enhancement processing on the f...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: ZHOU ZHUOYI, LIANG YAN, HUANG WEICONG
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 ZHOU ZHUOYI
LIANG YAN
HUANG WEICONG
description The invention provides a concentration degree recognition method, device and equipment and a computer storage medium, and the method comprises the steps: obtaining a face image and the concentration degree, and obtaining a face image through the face image; performing enhancement processing on the face image by using a RandAugent algorithm to obtain a preprocessed face image; an improved ResNet18 model and an improved LSTM (Long Short Term Memory) model are utilized to construct a concentration degree identification model; recognizing the preprocessed face image by using a concentration degree recognition model to obtain a training predicted value of the concentration degree; obtaining a real value of the concentration degree, calculating a loss function by using the real value of the concentration degree and the training predicted value, and optimizing the concentration degree identification model by using the loss function to obtain an improved concentration degree identification model; and inputting the pr
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN115909448A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN115909448A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN115909448A3</originalsourceid><addsrcrecordid>eNrjZAhyzs9LTs0rKUosyczPUyhKTc5Pz8sEs3NTSzLyU3QUUlLLMpNTFRLzUhRSC0szC3KBysG85PzcgtKS1CKF4pL8osT0VKCOlMzSXB4G1rTEnOJUXijNzaDo5hri7KGbWpAfn1pckAi0L7Uk3tnP0NDU0sDSxMTC0ZgYNQBiYzij</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Concentration recognition method, device and equipment and computer storage medium</title><source>esp@cenet</source><creator>ZHOU ZHUOYI ; LIANG YAN ; HUANG WEICONG</creator><creatorcontrib>ZHOU ZHUOYI ; LIANG YAN ; HUANG WEICONG</creatorcontrib><description>The invention provides a concentration degree recognition method, device and equipment and a computer storage medium, and the method comprises the steps: obtaining a face image and the concentration degree, and obtaining a face image through the face image; performing enhancement processing on the face image by using a RandAugent algorithm to obtain a preprocessed face image; an improved ResNet18 model and an improved LSTM (Long Short Term Memory) model are utilized to construct a concentration degree identification model; recognizing the preprocessed face image by using a concentration degree recognition model to obtain a training predicted value of the concentration degree; obtaining a real value of the concentration degree, calculating a loss function by using the real value of the concentration degree and the training predicted value, and optimizing the concentration degree identification model by using the loss function to obtain an improved concentration degree identification model; and inputting the pr</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; PHYSICS</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&amp;date=20230404&amp;DB=EPODOC&amp;CC=CN&amp;NR=115909448A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20230404&amp;DB=EPODOC&amp;CC=CN&amp;NR=115909448A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>ZHOU ZHUOYI</creatorcontrib><creatorcontrib>LIANG YAN</creatorcontrib><creatorcontrib>HUANG WEICONG</creatorcontrib><title>Concentration recognition method, device and equipment and computer storage medium</title><description>The invention provides a concentration degree recognition method, device and equipment and a computer storage medium, and the method comprises the steps: obtaining a face image and the concentration degree, and obtaining a face image through the face image; performing enhancement processing on the face image by using a RandAugent algorithm to obtain a preprocessed face image; an improved ResNet18 model and an improved LSTM (Long Short Term Memory) model are utilized to construct a concentration degree identification model; recognizing the preprocessed face image by using a concentration degree recognition model to obtain a training predicted value of the concentration degree; obtaining a real value of the concentration degree, calculating a loss function by using the real value of the concentration degree and the training predicted value, and optimizing the concentration degree identification model by using the loss function to obtain an improved concentration degree identification model; and inputting the pr</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2023</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZAhyzs9LTs0rKUosyczPUyhKTc5Pz8sEs3NTSzLyU3QUUlLLMpNTFRLzUhRSC0szC3KBysG85PzcgtKS1CKF4pL8osT0VKCOlMzSXB4G1rTEnOJUXijNzaDo5hri7KGbWpAfn1pckAi0L7Uk3tnP0NDU0sDSxMTC0ZgYNQBiYzij</recordid><startdate>20230404</startdate><enddate>20230404</enddate><creator>ZHOU ZHUOYI</creator><creator>LIANG YAN</creator><creator>HUANG WEICONG</creator><scope>EVB</scope></search><sort><creationdate>20230404</creationdate><title>Concentration recognition method, device and equipment and computer storage medium</title><author>ZHOU ZHUOYI ; LIANG YAN ; HUANG WEICONG</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN115909448A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2023</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>ZHOU ZHUOYI</creatorcontrib><creatorcontrib>LIANG YAN</creatorcontrib><creatorcontrib>HUANG WEICONG</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>ZHOU ZHUOYI</au><au>LIANG YAN</au><au>HUANG WEICONG</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Concentration recognition method, device and equipment and computer storage medium</title><date>2023-04-04</date><risdate>2023</risdate><abstract>The invention provides a concentration degree recognition method, device and equipment and a computer storage medium, and the method comprises the steps: obtaining a face image and the concentration degree, and obtaining a face image through the face image; performing enhancement processing on the face image by using a RandAugent algorithm to obtain a preprocessed face image; an improved ResNet18 model and an improved LSTM (Long Short Term Memory) model are utilized to construct a concentration degree identification model; recognizing the preprocessed face image by using a concentration degree recognition model to obtain a training predicted value of the concentration degree; obtaining a real value of the concentration degree, calculating a loss function by using the real value of the concentration degree and the training predicted value, and optimizing the concentration degree identification model by using the loss function to obtain an improved concentration degree identification model; and inputting the pr</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language chi ; eng
recordid cdi_epo_espacenet_CN115909448A
source esp@cenet
subjects CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
title Concentration recognition method, device and equipment and computer storage medium
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-29T15%3A09%3A48IST&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=ZHOU%20ZHUOYI&rft.date=2023-04-04&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN115909448A%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