Please use this identifier to cite or link to this item: http://nopr.niscpr.res.in/handle/123456789/61653
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dc.contributor.authorChakravarthi, Sangapu Sreenivasa-
dc.contributor.authorRao, B Narendra Kumar-
dc.contributor.authorChalla, Nagendra Panini-
dc.contributor.authorRanjana, R-
dc.contributor.authorRai, Ankush-
dc.date.accessioned2023-04-03T09:56:54Z-
dc.date.available2023-04-03T09:56:54Z-
dc.date.issued2023-04-
dc.identifier.issn0022-4456 (Print); 0975-1084 (Online)-
dc.identifier.urihttp://nopr.niscpr.res.in/handle/123456789/61653-
dc.description438-443en_US
dc.description.abstractGesture recognition is critical in human-computer communication. As observed, a plethora of current technological developments are in the works, including biometric authentication, which we see all the time in our smartphones. Hand gesture focus, a frequent human-computer interface in which we manage our devices by presenting our hands in front of a webcam, can benefit people of different backgrounds. Some of the efforts in human-computer interface include voice assistance and virtual mouse implementation with voice commands, fingertip recognition and hand motion tracking based on an image in a live video. Human Computer Interaction (HCI), particularly vision-based gesture and object recognition, is becoming increasingly important. Hence, we focused to design and develop a system for monitoring fingers using extreme learning-based hand gesture recognition techniques. Extreme learning helps in quickly interpreting the hand gestures with improved accuracy which would be a highly useful in the domains like healthcare, financial transactions and global businessen_US
dc.language.isoenen_US
dc.publisherNIScPR-CSIR,Indiaen_US
dc.sourceJSIR Vol.82(04) [April 2023]en_US
dc.subjectExtreme learningen_US
dc.subjectFinger trackingen_US
dc.subjectHand gestureen_US
dc.subjectMotion detectionen_US
dc.subjectVoice commandsen_US
dc.titleGesture Recognition for Enhancing Human Computer Interactionen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.56042/jsir.v82i04.72387en_US
Appears in Collections:JSIR Vol.82(04) [April 2023]

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