HAND SHAPE AND SIGN RECOGNITION FROM VIDEO USING DEEP CONVOLUTION NETWORK
HAND SHAPE AND SIGN RECOGNITION FROM VIDEO USING DEEP CONVOLUTION NETWORK Many artificial intelligence applications, such as signal processing and personal computer vision, utilize deep learning. The main social issues are consultation with the fundamental aspects of life and communication difficult...
Gespeichert in:
| Hauptverfasser: | , , , , , , , , , , , |
|---|---|
| Format: | Patent |
| Sprache: | 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 | Rane, Kantilal P Bhatnagar, Shaleen B., Prasanalakshmi Hati, Ananda Shankar Bhaskar, Thupakula Gagnani, Lokesh P Chakrabarti, Prasun Karthikeyan, V Navuluri, Mohanarao Acharjya, Pinaki Pratim Prakash, A Balasubramaniyan, K |
| description | HAND SHAPE AND SIGN RECOGNITION FROM VIDEO USING DEEP CONVOLUTION NETWORK Many artificial intelligence applications, such as signal processing and personal computer vision, utilize deep learning. The main social issues are consultation with the fundamental aspects of life and communication difficulties. Even though the issue has been addressed via improvements in gestures and gesture detection through programmed communication, an appropriate solution has yet to be found. This innovation employs a gesture acknowledgment paradigm that takes use of spatially transitory hand-based data. Hand identification and sign recognition are the foundational accurate and productive models used in this invention. |
| format | Patent |
| fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_AU2021104072A4</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>AU2021104072A4</sourcerecordid><originalsourceid>FETCH-epo_espacenet_AU2021104072A43</originalsourceid><addsrcrecordid>eNrjZPD0cPRzUQj2cAxwVQCzPN39FIJcnf3d_TxDPP39FNyC_H0VwjxdXP0VQoM9_dwVXFxdAxSc_f3C_H1CwSr8XEPC_YO8eRhY0xJzilN5oTQ3g7Kba4izh25qQX58anFBYnJqXmpJvGOokYGRoaGBiYG5kaOJMXGqAM88LdY</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>HAND SHAPE AND SIGN RECOGNITION FROM VIDEO USING DEEP CONVOLUTION NETWORK</title><source>esp@cenet</source><creator>Rane, Kantilal P ; Bhatnagar, Shaleen ; B., Prasanalakshmi ; Hati, Ananda Shankar ; Bhaskar, Thupakula ; Gagnani, Lokesh P ; Chakrabarti, Prasun ; Karthikeyan, V ; Navuluri, Mohanarao ; Acharjya, Pinaki Pratim ; Prakash, A ; Balasubramaniyan, K</creator><creatorcontrib>Rane, Kantilal P ; Bhatnagar, Shaleen ; B., Prasanalakshmi ; Hati, Ananda Shankar ; Bhaskar, Thupakula ; Gagnani, Lokesh P ; Chakrabarti, Prasun ; Karthikeyan, V ; Navuluri, Mohanarao ; Acharjya, Pinaki Pratim ; Prakash, A ; Balasubramaniyan, K</creatorcontrib><description>HAND SHAPE AND SIGN RECOGNITION FROM VIDEO USING DEEP CONVOLUTION NETWORK Many artificial intelligence applications, such as signal processing and personal computer vision, utilize deep learning. The main social issues are consultation with the fundamental aspects of life and communication difficulties. Even though the issue has been addressed via improvements in gestures and gesture detection through programmed communication, an appropriate solution has yet to be found. This innovation employs a gesture acknowledgment paradigm that takes use of spatially transitory hand-based data. Hand identification and sign recognition are the foundational accurate and productive models used in this invention.</description><language>eng</language><subject>ADVERTISING ; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND,DEAF OR MUTE ; CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; CRYPTOGRAPHY ; DIAGRAMS ; DISPLAY ; EDUCATION ; EDUCATIONAL OR DEMONSTRATION APPLIANCES ; GLOBES ; HANDLING RECORD CARRIERS ; PHYSICS ; PLANETARIA ; PRESENTATION OF DATA ; RECOGNITION OF DATA ; RECORD CARRIERS ; SEALS</subject><creationdate>2021</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=20210909&DB=EPODOC&CC=AU&NR=2021104072A4$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,777,882,25546,76297</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20210909&DB=EPODOC&CC=AU&NR=2021104072A4$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Rane, Kantilal P</creatorcontrib><creatorcontrib>Bhatnagar, Shaleen</creatorcontrib><creatorcontrib>B., Prasanalakshmi</creatorcontrib><creatorcontrib>Hati, Ananda Shankar</creatorcontrib><creatorcontrib>Bhaskar, Thupakula</creatorcontrib><creatorcontrib>Gagnani, Lokesh P</creatorcontrib><creatorcontrib>Chakrabarti, Prasun</creatorcontrib><creatorcontrib>Karthikeyan, V</creatorcontrib><creatorcontrib>Navuluri, Mohanarao</creatorcontrib><creatorcontrib>Acharjya, Pinaki Pratim</creatorcontrib><creatorcontrib>Prakash, A</creatorcontrib><creatorcontrib>Balasubramaniyan, K</creatorcontrib><title>HAND SHAPE AND SIGN RECOGNITION FROM VIDEO USING DEEP CONVOLUTION NETWORK</title><description>HAND SHAPE AND SIGN RECOGNITION FROM VIDEO USING DEEP CONVOLUTION NETWORK Many artificial intelligence applications, such as signal processing and personal computer vision, utilize deep learning. The main social issues are consultation with the fundamental aspects of life and communication difficulties. Even though the issue has been addressed via improvements in gestures and gesture detection through programmed communication, an appropriate solution has yet to be found. This innovation employs a gesture acknowledgment paradigm that takes use of spatially transitory hand-based data. Hand identification and sign recognition are the foundational accurate and productive models used in this invention.</description><subject>ADVERTISING</subject><subject>APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND,DEAF OR MUTE</subject><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</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>GLOBES</subject><subject>HANDLING RECORD CARRIERS</subject><subject>PHYSICS</subject><subject>PLANETARIA</subject><subject>PRESENTATION OF DATA</subject><subject>RECOGNITION OF DATA</subject><subject>RECORD CARRIERS</subject><subject>SEALS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2021</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZPD0cPRzUQj2cAxwVQCzPN39FIJcnf3d_TxDPP39FNyC_H0VwjxdXP0VQoM9_dwVXFxdAxSc_f3C_H1CwSr8XEPC_YO8eRhY0xJzilN5oTQ3g7Kba4izh25qQX58anFBYnJqXmpJvGOokYGRoaGBiYG5kaOJMXGqAM88LdY</recordid><startdate>20210909</startdate><enddate>20210909</enddate><creator>Rane, Kantilal P</creator><creator>Bhatnagar, Shaleen</creator><creator>B., Prasanalakshmi</creator><creator>Hati, Ananda Shankar</creator><creator>Bhaskar, Thupakula</creator><creator>Gagnani, Lokesh P</creator><creator>Chakrabarti, Prasun</creator><creator>Karthikeyan, V</creator><creator>Navuluri, Mohanarao</creator><creator>Acharjya, Pinaki Pratim</creator><creator>Prakash, A</creator><creator>Balasubramaniyan, K</creator><scope>EVB</scope></search><sort><creationdate>20210909</creationdate><title>HAND SHAPE AND SIGN RECOGNITION FROM VIDEO USING DEEP CONVOLUTION NETWORK</title><author>Rane, Kantilal P ; Bhatnagar, Shaleen ; B., Prasanalakshmi ; Hati, Ananda Shankar ; Bhaskar, Thupakula ; Gagnani, Lokesh P ; Chakrabarti, Prasun ; Karthikeyan, V ; Navuluri, Mohanarao ; Acharjya, Pinaki Pratim ; Prakash, A ; Balasubramaniyan, K</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_AU2021104072A43</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2021</creationdate><topic>ADVERTISING</topic><topic>APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND,DEAF OR MUTE</topic><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</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>GLOBES</topic><topic>HANDLING RECORD CARRIERS</topic><topic>PHYSICS</topic><topic>PLANETARIA</topic><topic>PRESENTATION OF DATA</topic><topic>RECOGNITION OF DATA</topic><topic>RECORD CARRIERS</topic><topic>SEALS</topic><toplevel>online_resources</toplevel><creatorcontrib>Rane, Kantilal P</creatorcontrib><creatorcontrib>Bhatnagar, Shaleen</creatorcontrib><creatorcontrib>B., Prasanalakshmi</creatorcontrib><creatorcontrib>Hati, Ananda Shankar</creatorcontrib><creatorcontrib>Bhaskar, Thupakula</creatorcontrib><creatorcontrib>Gagnani, Lokesh P</creatorcontrib><creatorcontrib>Chakrabarti, Prasun</creatorcontrib><creatorcontrib>Karthikeyan, V</creatorcontrib><creatorcontrib>Navuluri, Mohanarao</creatorcontrib><creatorcontrib>Acharjya, Pinaki Pratim</creatorcontrib><creatorcontrib>Prakash, A</creatorcontrib><creatorcontrib>Balasubramaniyan, K</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Rane, Kantilal P</au><au>Bhatnagar, Shaleen</au><au>B., Prasanalakshmi</au><au>Hati, Ananda Shankar</au><au>Bhaskar, Thupakula</au><au>Gagnani, Lokesh P</au><au>Chakrabarti, Prasun</au><au>Karthikeyan, V</au><au>Navuluri, Mohanarao</au><au>Acharjya, Pinaki Pratim</au><au>Prakash, A</au><au>Balasubramaniyan, K</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>HAND SHAPE AND SIGN RECOGNITION FROM VIDEO USING DEEP CONVOLUTION NETWORK</title><date>2021-09-09</date><risdate>2021</risdate><abstract>HAND SHAPE AND SIGN RECOGNITION FROM VIDEO USING DEEP CONVOLUTION NETWORK Many artificial intelligence applications, such as signal processing and personal computer vision, utilize deep learning. The main social issues are consultation with the fundamental aspects of life and communication difficulties. Even though the issue has been addressed via improvements in gestures and gesture detection through programmed communication, an appropriate solution has yet to be found. This innovation employs a gesture acknowledgment paradigm that takes use of spatially transitory hand-based data. Hand identification and sign recognition are the foundational accurate and productive models used in this invention.</abstract><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | |
| ispartof | |
| issn | |
| language | eng |
| recordid | cdi_epo_espacenet_AU2021104072A4 |
| source | esp@cenet |
| subjects | ADVERTISING APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND,DEAF OR MUTE CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING CRYPTOGRAPHY DIAGRAMS DISPLAY EDUCATION EDUCATIONAL OR DEMONSTRATION APPLIANCES GLOBES HANDLING RECORD CARRIERS PHYSICS PLANETARIA PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS SEALS |
| title | HAND SHAPE AND SIGN RECOGNITION FROM VIDEO USING DEEP CONVOLUTION NETWORK |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-17T08%3A50%3A12IST&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=Rane,%20Kantilal%20P&rft.date=2021-09-09&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3EAU2021104072A4%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 |