PREDICTING BODY MOTION
For each of a plurality of time steps: receive a reference joint pose of an articulated entity and receiving an indication that another joint of the articulated entity is unobserved or observed. Prompt a motion model using the reference joint pose and a mask token. The model predicts body motion com...
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| creator | CAMERON, Pashmina Jonathan ALI AKBARIAN, Mohammand Sadegh SALEH, Fatemehsadat |
| description | For each of a plurality of time steps: receive a reference joint pose of an articulated entity and receiving an indication that another joint of the articulated entity is unobserved or observed. Prompt a motion model using the reference joint pose and a mask token. The model predicts body motion comprising a trajectory of the articulated entity and a pose of a plurality of joints of the articulated entity. The mask token represents the other joint and is temporally adaptable by: in response to receiving an indication that the other joint is unobserved, using information about the reference joint pose and a pose of the other joint from a previous time step; and in response to receiving an indication that the other joint is observed, using information about the reference joint pose and a pose of the other joint from the current time step. |
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Prompt a motion model using the reference joint pose and a mask token. The model predicts body motion comprising a trajectory of the articulated entity and a pose of a plurality of joints of the articulated entity. The mask token represents the other joint and is temporally adaptable by: in response to receiving an indication that the other joint is unobserved, using information about the reference joint pose and a pose of the other joint from a previous time step; and in response to receiving an indication that the other joint is observed, using information about the reference joint pose and a pose of the other joint from the current time step.</description><language>eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ; OPTICAL ELEMENTS, SYSTEMS, OR APPARATUS ; OPTICS ; PHYSICS</subject><creationdate>2024</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=20240808&DB=EPODOC&CC=US&NR=2024264658A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240808&DB=EPODOC&CC=US&NR=2024264658A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>CAMERON, Pashmina Jonathan</creatorcontrib><creatorcontrib>ALI AKBARIAN, Mohammand Sadegh</creatorcontrib><creatorcontrib>SALEH, Fatemehsadat</creatorcontrib><title>PREDICTING BODY MOTION</title><description>For each of a plurality of time steps: receive a reference joint pose of an articulated entity and receiving an indication that another joint of the articulated entity is unobserved or observed. Prompt a motion model using the reference joint pose and a mask token. The model predicts body motion comprising a trajectory of the articulated entity and a pose of a plurality of joints of the articulated entity. The mask token represents the other joint and is temporally adaptable by: in response to receiving an indication that the other joint is unobserved, using information about the reference joint pose and a pose of the other joint from a previous time step; and in response to receiving an indication that the other joint is observed, using information about the reference joint pose and a pose of the other joint from the current time step.</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</subject><subject>OPTICAL ELEMENTS, SYSTEMS, OR APPARATUS</subject><subject>OPTICS</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2024</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZBALCHJ18XQO8fRzV3Dyd4lU8PUP8fT342FgTUvMKU7lhdLcDMpuriHOHrqpBfnxqcUFicmpeakl8aHBRgZGJkZmJmamFo6GxsSpAgA29iAs</recordid><startdate>20240808</startdate><enddate>20240808</enddate><creator>CAMERON, Pashmina Jonathan</creator><creator>ALI AKBARIAN, Mohammand Sadegh</creator><creator>SALEH, Fatemehsadat</creator><scope>EVB</scope></search><sort><creationdate>20240808</creationdate><title>PREDICTING BODY MOTION</title><author>CAMERON, Pashmina Jonathan ; ALI AKBARIAN, Mohammand Sadegh ; SALEH, Fatemehsadat</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US2024264658A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2024</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</topic><topic>OPTICAL ELEMENTS, SYSTEMS, OR APPARATUS</topic><topic>OPTICS</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>CAMERON, Pashmina Jonathan</creatorcontrib><creatorcontrib>ALI AKBARIAN, Mohammand Sadegh</creatorcontrib><creatorcontrib>SALEH, Fatemehsadat</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>CAMERON, Pashmina Jonathan</au><au>ALI AKBARIAN, Mohammand Sadegh</au><au>SALEH, Fatemehsadat</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>PREDICTING BODY MOTION</title><date>2024-08-08</date><risdate>2024</risdate><abstract>For each of a plurality of time steps: receive a reference joint pose of an articulated entity and receiving an indication that another joint of the articulated entity is unobserved or observed. Prompt a motion model using the reference joint pose and a mask token. The model predicts body motion comprising a trajectory of the articulated entity and a pose of a plurality of joints of the articulated entity. The mask token represents the other joint and is temporally adaptable by: in response to receiving an indication that the other joint is unobserved, using information about the reference joint pose and a pose of the other joint from a previous time step; and in response to receiving an indication that the other joint is observed, using information about the reference joint pose and a pose of the other joint from the current time step.</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING IMAGE DATA PROCESSING OR GENERATION, IN GENERAL OPTICAL ELEMENTS, SYSTEMS, OR APPARATUS OPTICS PHYSICS |
| title | PREDICTING BODY MOTION |
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