AUTOMATIC BODY MOVEMENT RECOGNITION AND ASSOCIATION SYSTEM
An automatic body movement recognition and association system that includes a preprocessing component and a "live testing" engine component. The system further includes a transition posture detector module and a recording module. The system uses three dimensional (3D) skeletal joint inform...
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creator | ELWAZER, Mohamed MOHAMMED, Hazem, Said Ahmed BENTLEY, Catherine |
description | An automatic body movement recognition and association system that includes a preprocessing component and a "live testing" engine component. The system further includes a transition posture detector module and a recording module. The system uses three dimensional (3D) skeletal joint information from a stand-alone depth-sensing capture device that detects the body movements of a user. The transition posture detector module detects the occurrence of a transition posture and the recording module stores a segment of body movement data between occurrences of the transition posture. The preprocessing component processes the segments into a preprocessed movement that is used by a classifier component in the engine component to produce text or speech associated with the preprocessed movement. An "off-line" training system that includes a preprocessing component, a training data set, and a learning system also processes 3D information, off-line from the training data set or from the depth-sensing camera, to continually update the training data set and improve a learning system that sends updated information to the classifier component in the engine component when the updated information is shown to improve accuracy. |
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The system further includes a transition posture detector module and a recording module. The system uses three dimensional (3D) skeletal joint information from a stand-alone depth-sensing capture device that detects the body movements of a user. The transition posture detector module detects the occurrence of a transition posture and the recording module stores a segment of body movement data between occurrences of the transition posture. The preprocessing component processes the segments into a preprocessed movement that is used by a classifier component in the engine component to produce text or speech associated with the preprocessed movement. An "off-line" training system that includes a preprocessing component, a training data set, and a learning system also processes 3D information, off-line from the training data set or from the depth-sensing camera, to continually update the training data set and improve a learning system that sends updated information to the classifier component in the engine component when the updated information is shown to improve accuracy.</description><language>eng ; fre ; ger</language><subject>ADVERTISING ; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND,DEAF OR MUTE ; CALCULATING ; COMPUTING ; COUNTING ; CRYPTOGRAPHY ; DIAGRAMS ; DISPLAY ; EDUCATION ; EDUCATIONAL OR DEMONSTRATION APPLIANCES ; ELECTRIC DIGITAL DATA PROCESSING ; GLOBES ; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ; PHYSICS ; PLANETARIA ; SEALS</subject><creationdate>2019</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=20190410&DB=EPODOC&CC=EP&NR=3465616A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76290</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20190410&DB=EPODOC&CC=EP&NR=3465616A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>ELWAZER, Mohamed</creatorcontrib><creatorcontrib>MOHAMMED, Hazem, Said Ahmed</creatorcontrib><creatorcontrib>BENTLEY, Catherine</creatorcontrib><title>AUTOMATIC BODY MOVEMENT RECOGNITION AND ASSOCIATION SYSTEM</title><description>An automatic body movement recognition and association system that includes a preprocessing component and a "live testing" engine component. The system further includes a transition posture detector module and a recording module. The system uses three dimensional (3D) skeletal joint information from a stand-alone depth-sensing capture device that detects the body movements of a user. The transition posture detector module detects the occurrence of a transition posture and the recording module stores a segment of body movement data between occurrences of the transition posture. The preprocessing component processes the segments into a preprocessed movement that is used by a classifier component in the engine component to produce text or speech associated with the preprocessed movement. An "off-line" training system that includes a preprocessing component, a training data set, and a learning system also processes 3D information, off-line from the training data set or from the depth-sensing camera, to continually update the training data set and improve a learning system that sends updated information to the classifier component in the engine component when the updated information is shown to improve accuracy.</description><subject>ADVERTISING</subject><subject>APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND,DEAF OR MUTE</subject><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>CRYPTOGRAPHY</subject><subject>DIAGRAMS</subject><subject>DISPLAY</subject><subject>EDUCATION</subject><subject>EDUCATIONAL OR DEMONSTRATION APPLIANCES</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>GLOBES</subject><subject>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</subject><subject>PHYSICS</subject><subject>PLANETARIA</subject><subject>SEALS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2019</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZLByDA3x93UM8XRWcPJ3iVTw9Q9z9XX1C1EIcnX2d_fzDPH091Nw9HNRcAwO9nf2dATzgyODQ1x9eRhY0xJzilN5oTQ3g4Kba4izh25qQX58anFBYnJqXmpJvGuAsYmZqZmhmaOhMRFKAItjKP0</recordid><startdate>20190410</startdate><enddate>20190410</enddate><creator>ELWAZER, Mohamed</creator><creator>MOHAMMED, Hazem, Said Ahmed</creator><creator>BENTLEY, Catherine</creator><scope>EVB</scope></search><sort><creationdate>20190410</creationdate><title>AUTOMATIC BODY MOVEMENT RECOGNITION AND ASSOCIATION SYSTEM</title><author>ELWAZER, Mohamed ; MOHAMMED, Hazem, Said Ahmed ; BENTLEY, Catherine</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_EP3465616A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng ; fre ; ger</language><creationdate>2019</creationdate><topic>ADVERTISING</topic><topic>APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND,DEAF OR MUTE</topic><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>CRYPTOGRAPHY</topic><topic>DIAGRAMS</topic><topic>DISPLAY</topic><topic>EDUCATION</topic><topic>EDUCATIONAL OR DEMONSTRATION APPLIANCES</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>GLOBES</topic><topic>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</topic><topic>PHYSICS</topic><topic>PLANETARIA</topic><topic>SEALS</topic><toplevel>online_resources</toplevel><creatorcontrib>ELWAZER, Mohamed</creatorcontrib><creatorcontrib>MOHAMMED, Hazem, Said Ahmed</creatorcontrib><creatorcontrib>BENTLEY, Catherine</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>ELWAZER, Mohamed</au><au>MOHAMMED, Hazem, Said Ahmed</au><au>BENTLEY, Catherine</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>AUTOMATIC BODY MOVEMENT RECOGNITION AND ASSOCIATION SYSTEM</title><date>2019-04-10</date><risdate>2019</risdate><abstract>An automatic body movement recognition and association system that includes a preprocessing component and a "live testing" engine component. The system further includes a transition posture detector module and a recording module. The system uses three dimensional (3D) skeletal joint information from a stand-alone depth-sensing capture device that detects the body movements of a user. The transition posture detector module detects the occurrence of a transition posture and the recording module stores a segment of body movement data between occurrences of the transition posture. The preprocessing component processes the segments into a preprocessed movement that is used by a classifier component in the engine component to produce text or speech associated with the preprocessed movement. An "off-line" training system that includes a preprocessing component, a training data set, and a learning system also processes 3D information, off-line from the training data set or from the depth-sensing camera, to continually update the training data set and improve a learning system that sends updated information to the classifier component in the engine component when the updated information is shown to improve accuracy.</abstract><oa>free_for_read</oa></addata></record> |
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subjects | ADVERTISING APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND,DEAF OR MUTE CALCULATING COMPUTING COUNTING CRYPTOGRAPHY DIAGRAMS DISPLAY EDUCATION EDUCATIONAL OR DEMONSTRATION APPLIANCES ELECTRIC DIGITAL DATA PROCESSING GLOBES IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PHYSICS PLANETARIA SEALS |
title | AUTOMATIC BODY MOVEMENT RECOGNITION AND ASSOCIATION SYSTEM |
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