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...
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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 |
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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&date=20230404&DB=EPODOC&CC=CN&NR=115909448A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20230404&DB=EPODOC&CC=CN&NR=115909448A$$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 ; 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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> |
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language | chi ; eng |
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subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING PHYSICS |
title | Concentration recognition method, device and equipment and computer storage medium |
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