Digital human driving method and device, equipment and storage medium
The invention relates to a digital human driving method and device, equipment and a storage medium. According to the invention, the target module for executing the control instruction is determined from the motion matching module and the motion control module through the control instruction for driv...
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 | SHI YUNZHOU PU LIMING DING HAOSHENG CHEN HAIQING ZHAO ZHONGZHOU XIAO ZHIYONG ZHOU WEI CUI YUHAO |
description | The invention relates to a digital human driving method and device, equipment and a storage medium. According to the invention, the target module for executing the control instruction is determined from the motion matching module and the motion control module through the control instruction for driving the digital human. The motion matching module can determine the target animation segment matched with the control instruction from the plurality of preset animation segments according to the control instruction. The motion control module can input the control instruction, the historical motion skeleton information and the historical motion track of the digital human into a pre-trained machine learning model, and skeleton motion information used for driving the digital human is generated through the machine learning model. Therefore, according to the embodiment of the invention, free switching between two modes for determining the skeleton motion information can be realized, so that the control instructions in d |
format | Patent |
fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN114998491A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN114998491A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN114998491A3</originalsourceid><addsrcrecordid>eNrjZHB1yUzPLEnMUcgozU3MU0gpyizLzEtXyE0tychPUUjMS1FISS3LTE7VUUgtLM0syE3NKwGLFpfkFyWmpwIVpmSW5vIwsKYl5hSn8kJpbgZFN9cQZw_d1IL8-NTigsTk1LzUknhnP0NDE0tLCxNLQ0djYtQAAM-dMwM</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Digital human driving method and device, equipment and storage medium</title><source>esp@cenet</source><creator>SHI YUNZHOU ; PU LIMING ; DING HAOSHENG ; CHEN HAIQING ; ZHAO ZHONGZHOU ; XIAO ZHIYONG ; ZHOU WEI ; CUI YUHAO</creator><creatorcontrib>SHI YUNZHOU ; PU LIMING ; DING HAOSHENG ; CHEN HAIQING ; ZHAO ZHONGZHOU ; XIAO ZHIYONG ; ZHOU WEI ; CUI YUHAO</creatorcontrib><description>The invention relates to a digital human driving method and device, equipment and a storage medium. According to the invention, the target module for executing the control instruction is determined from the motion matching module and the motion control module through the control instruction for driving the digital human. The motion matching module can determine the target animation segment matched with the control instruction from the plurality of preset animation segments according to the control instruction. The motion control module can input the control instruction, the historical motion skeleton information and the historical motion track of the digital human into a pre-trained machine learning model, and skeleton motion information used for driving the digital human is generated through the machine learning model. Therefore, according to the embodiment of the invention, free switching between two modes for determining the skeleton motion information can be realized, so that the control instructions in d</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ; PHYSICS</subject><creationdate>2022</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=20220902&DB=EPODOC&CC=CN&NR=114998491A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,777,882,25545,76296</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20220902&DB=EPODOC&CC=CN&NR=114998491A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>SHI YUNZHOU</creatorcontrib><creatorcontrib>PU LIMING</creatorcontrib><creatorcontrib>DING HAOSHENG</creatorcontrib><creatorcontrib>CHEN HAIQING</creatorcontrib><creatorcontrib>ZHAO ZHONGZHOU</creatorcontrib><creatorcontrib>XIAO ZHIYONG</creatorcontrib><creatorcontrib>ZHOU WEI</creatorcontrib><creatorcontrib>CUI YUHAO</creatorcontrib><title>Digital human driving method and device, equipment and storage medium</title><description>The invention relates to a digital human driving method and device, equipment and a storage medium. According to the invention, the target module for executing the control instruction is determined from the motion matching module and the motion control module through the control instruction for driving the digital human. The motion matching module can determine the target animation segment matched with the control instruction from the plurality of preset animation segments according to the control instruction. The motion control module can input the control instruction, the historical motion skeleton information and the historical motion track of the digital human into a pre-trained machine learning model, and skeleton motion information used for driving the digital human is generated through the machine learning model. Therefore, according to the embodiment of the invention, free switching between two modes for determining the skeleton motion information can be realized, so that the control instructions in d</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2022</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZHB1yUzPLEnMUcgozU3MU0gpyizLzEtXyE0tychPUUjMS1FISS3LTE7VUUgtLM0syE3NKwGLFpfkFyWmpwIVpmSW5vIwsKYl5hSn8kJpbgZFN9cQZw_d1IL8-NTigsTk1LzUknhnP0NDE0tLCxNLQ0djYtQAAM-dMwM</recordid><startdate>20220902</startdate><enddate>20220902</enddate><creator>SHI YUNZHOU</creator><creator>PU LIMING</creator><creator>DING HAOSHENG</creator><creator>CHEN HAIQING</creator><creator>ZHAO ZHONGZHOU</creator><creator>XIAO ZHIYONG</creator><creator>ZHOU WEI</creator><creator>CUI YUHAO</creator><scope>EVB</scope></search><sort><creationdate>20220902</creationdate><title>Digital human driving method and device, equipment and storage medium</title><author>SHI YUNZHOU ; PU LIMING ; DING HAOSHENG ; CHEN HAIQING ; ZHAO ZHONGZHOU ; XIAO ZHIYONG ; ZHOU WEI ; CUI YUHAO</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN114998491A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2022</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>SHI YUNZHOU</creatorcontrib><creatorcontrib>PU LIMING</creatorcontrib><creatorcontrib>DING HAOSHENG</creatorcontrib><creatorcontrib>CHEN HAIQING</creatorcontrib><creatorcontrib>ZHAO ZHONGZHOU</creatorcontrib><creatorcontrib>XIAO ZHIYONG</creatorcontrib><creatorcontrib>ZHOU WEI</creatorcontrib><creatorcontrib>CUI YUHAO</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>SHI YUNZHOU</au><au>PU LIMING</au><au>DING HAOSHENG</au><au>CHEN HAIQING</au><au>ZHAO ZHONGZHOU</au><au>XIAO ZHIYONG</au><au>ZHOU WEI</au><au>CUI YUHAO</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Digital human driving method and device, equipment and storage medium</title><date>2022-09-02</date><risdate>2022</risdate><abstract>The invention relates to a digital human driving method and device, equipment and a storage medium. According to the invention, the target module for executing the control instruction is determined from the motion matching module and the motion control module through the control instruction for driving the digital human. The motion matching module can determine the target animation segment matched with the control instruction from the plurality of preset animation segments according to the control instruction. The motion control module can input the control instruction, the historical motion skeleton information and the historical motion track of the digital human into a pre-trained machine learning model, and skeleton motion information used for driving the digital human is generated through the machine learning model. Therefore, according to the embodiment of the invention, free switching between two modes for determining the skeleton motion information can be realized, so that the control instructions in d</abstract><oa>free_for_read</oa></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | |
ispartof | |
issn | |
language | chi ; eng |
recordid | cdi_epo_espacenet_CN114998491A |
source | esp@cenet |
subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PHYSICS |
title | Digital human driving method and device, equipment and storage medium |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-19T13%3A26%3A26IST&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=SHI%20YUNZHOU&rft.date=2022-09-02&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN114998491A%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 |