Vision-based Hand Gesture Interface for Real-time Computer Operation Control

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dc.contributor.authorPraneeth, G.
dc.contributor.authorRecharla, R.
dc.contributor.authorPrakash, A.S.
dc.contributor.authorRashmi, M.
dc.contributor.authorGuddeti, R.M.R.
dc.date.accessioned2026-02-06T06:35:25Z
dc.date.issued2022
dc.description.abstractHumans typically perform simple actions with hand gestures. If a computer interprets gestures, then human-computer interaction can be enhanced. This paper proposes hand gesture-based interface for controlling computer operations using deep learning and custom dataset. © 2022 IEEE.
dc.identifier.citationIEEE Region 10 Annual International Conference, Proceedings/TENCON, 2022, Vol.2022-November, , p. -
dc.identifier.issn21593442
dc.identifier.urihttps://doi.org/10.1109/TENCON55691.2022.9977948
dc.identifier.urihttps://idr.nitk.ac.in/handle/123456789/29822
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.subjectDeep learning
dc.subjectHand gesture recognition
dc.subjectHuman-Computer Interaction
dc.subjectMediaPipe
dc.subjectPyAutoGUI
dc.titleVision-based Hand Gesture Interface for Real-time Computer Operation Control

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