Real-Time Gesture Recognition with Virtual Glove Markers
Due to the universal non-verbal natural communication approach that allows for effective communication between humans, gesture recognition technology has been steadily developing over the previous few decades. Many different strategies have been presented in research articles based on gesture recogn...
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creator | McKinnon, Finlay Adama, David Ada Machado, Pedro Ihianle, Isibor Kennedy |
description | Due to the universal non-verbal natural communication approach that allows
for effective communication between humans, gesture recognition technology has
been steadily developing over the previous few decades. Many different
strategies have been presented in research articles based on gesture
recognition to try to create an effective system to send non-verbal natural
communication information to computers, using both physical sensors and
computer vision. Hyper accurate real-time systems, on the other hand, have only
recently began to occupy the study field, with each adopting a range of
methodologies due to past limits such as usability, cost, speed, and accuracy.
A real-time computer vision-based human-computer interaction tool for gesture
recognition applications that acts as a natural user interface is proposed.
Virtual glove markers on users hands will be created and used as input to a
deep learning model for the real-time recognition of gestures. The results
obtained show that the proposed system would be effective in real-time
applications including social interaction through telepresence and
rehabilitation. |
doi_str_mv | 10.48550/arxiv.2207.02729 |
format | Article |
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for effective communication between humans, gesture recognition technology has
been steadily developing over the previous few decades. Many different
strategies have been presented in research articles based on gesture
recognition to try to create an effective system to send non-verbal natural
communication information to computers, using both physical sensors and
computer vision. Hyper accurate real-time systems, on the other hand, have only
recently began to occupy the study field, with each adopting a range of
methodologies due to past limits such as usability, cost, speed, and accuracy.
A real-time computer vision-based human-computer interaction tool for gesture
recognition applications that acts as a natural user interface is proposed.
Virtual glove markers on users hands will be created and used as input to a
deep learning model for the real-time recognition of gestures. The results
obtained show that the proposed system would be effective in real-time
applications including social interaction through telepresence and
rehabilitation.</description><identifier>DOI: 10.48550/arxiv.2207.02729</identifier><language>eng</language><subject>Computer Science - Artificial Intelligence ; Computer Science - Computer Vision and Pattern Recognition</subject><creationdate>2022-07</creationdate><rights>http://arxiv.org/licenses/nonexclusive-distrib/1.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,780,885</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/2207.02729$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.2207.02729$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>McKinnon, Finlay</creatorcontrib><creatorcontrib>Adama, David Ada</creatorcontrib><creatorcontrib>Machado, Pedro</creatorcontrib><creatorcontrib>Ihianle, Isibor Kennedy</creatorcontrib><title>Real-Time Gesture Recognition with Virtual Glove Markers</title><description>Due to the universal non-verbal natural communication approach that allows
for effective communication between humans, gesture recognition technology has
been steadily developing over the previous few decades. Many different
strategies have been presented in research articles based on gesture
recognition to try to create an effective system to send non-verbal natural
communication information to computers, using both physical sensors and
computer vision. Hyper accurate real-time systems, on the other hand, have only
recently began to occupy the study field, with each adopting a range of
methodologies due to past limits such as usability, cost, speed, and accuracy.
A real-time computer vision-based human-computer interaction tool for gesture
recognition applications that acts as a natural user interface is proposed.
Virtual glove markers on users hands will be created and used as input to a
deep learning model for the real-time recognition of gestures. The results
obtained show that the proposed system would be effective in real-time
applications including social interaction through telepresence and
rehabilitation.</description><subject>Computer Science - Artificial Intelligence</subject><subject>Computer Science - Computer Vision and Pattern Recognition</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNotj8tOwzAQAH3hgAofwAn_QMLGXr-OqIKAVIRURVyjdbIBi7RBTlrg7xGF09xGM0JcVVCiNwZuKH-lY6kUuBKUU-Fc-C3TWDRpx7LmeTlkllvuptd9WtK0l59peZMvKS8HGmU9TkeWT5TfOc8X4mygcebLf65Ec3_XrB-KzXP9uL7dFGRdKBg92DDYvooRsOqd7VCTD6ACBkDtHHhNyuvOsMGhj52JnjCirVCFweiVuP7TntLbj5x2lL_b34X2tKB_AC5_P7I</recordid><startdate>20220706</startdate><enddate>20220706</enddate><creator>McKinnon, Finlay</creator><creator>Adama, David Ada</creator><creator>Machado, Pedro</creator><creator>Ihianle, Isibor Kennedy</creator><scope>AKY</scope><scope>GOX</scope></search><sort><creationdate>20220706</creationdate><title>Real-Time Gesture Recognition with Virtual Glove Markers</title><author>McKinnon, Finlay ; Adama, David Ada ; Machado, Pedro ; Ihianle, Isibor Kennedy</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a679-e48069f6d1bb041d76c43a890294904377083a283c5e54fdbc5b8a4b461429f53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Computer Science - Artificial Intelligence</topic><topic>Computer Science - Computer Vision and Pattern Recognition</topic><toplevel>online_resources</toplevel><creatorcontrib>McKinnon, Finlay</creatorcontrib><creatorcontrib>Adama, David Ada</creatorcontrib><creatorcontrib>Machado, Pedro</creatorcontrib><creatorcontrib>Ihianle, Isibor Kennedy</creatorcontrib><collection>arXiv Computer Science</collection><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>McKinnon, Finlay</au><au>Adama, David Ada</au><au>Machado, Pedro</au><au>Ihianle, Isibor Kennedy</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Real-Time Gesture Recognition with Virtual Glove Markers</atitle><date>2022-07-06</date><risdate>2022</risdate><abstract>Due to the universal non-verbal natural communication approach that allows
for effective communication between humans, gesture recognition technology has
been steadily developing over the previous few decades. Many different
strategies have been presented in research articles based on gesture
recognition to try to create an effective system to send non-verbal natural
communication information to computers, using both physical sensors and
computer vision. Hyper accurate real-time systems, on the other hand, have only
recently began to occupy the study field, with each adopting a range of
methodologies due to past limits such as usability, cost, speed, and accuracy.
A real-time computer vision-based human-computer interaction tool for gesture
recognition applications that acts as a natural user interface is proposed.
Virtual glove markers on users hands will be created and used as input to a
deep learning model for the real-time recognition of gestures. The results
obtained show that the proposed system would be effective in real-time
applications including social interaction through telepresence and
rehabilitation.</abstract><doi>10.48550/arxiv.2207.02729</doi><oa>free_for_read</oa></addata></record> |
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subjects | Computer Science - Artificial Intelligence Computer Science - Computer Vision and Pattern Recognition |
title | Real-Time Gesture Recognition with Virtual Glove Markers |
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