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

G. Praneeth; R. Naveen; A. Shashi Prakash; M. Rashmi; Ram Mohana Reddy Guddeti

doi:10.1109/TENCON55691.2022.9977948

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

G. Praneeth
, R. Naveen
, A. Shashi Prakash
, M. Rashmi
, Ram Mohana Reddy Guddeti

School of Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

Humans 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.

Original language	English
Title of host publication	Proceedings of 2022 IEEE Region 10 International Conference, TENCON 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665450959
DOIs	https://doi.org/10.1109/TENCON55691.2022.9977948
Publication status	Published - 2022
Event	2022 IEEE Region 10 International Conference, TENCON 2022 - Virtual, Online, Hong Kong Duration: 01-11-2022 → 04-11-2022

Publication series

Name	IEEE Region 10 Annual International Conference, Proceedings/TENCON
Volume	2022-November
ISSN (Print)	2159-3442
ISSN (Electronic)	2159-3450

Conference

Conference	2022 IEEE Region 10 International Conference, TENCON 2022
Country/Territory	Hong Kong
City	Virtual, Online
Period	01-11-22 → 04-11-22

All Science Journal Classification (ASJC) codes

Computer Science Applications
Electrical and Electronic Engineering

Access to Document

10.1109/TENCON55691.2022.9977948

Cite this

Praneeth, G., Naveen, R., Prakash, A. S., Rashmi, M., & Guddeti, R. M. R. (2022). Vision-based Hand Gesture Interface for Real-time Computer Operation Control. In Proceedings of 2022 IEEE Region 10 International Conference, TENCON 2022 (IEEE Region 10 Annual International Conference, Proceedings/TENCON; Vol. 2022-November). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/TENCON55691.2022.9977948

@inproceedings{16806565541d443cad732bcbc873b29c,

title = "Vision-based Hand Gesture Interface for Real-time Computer Operation Control",

abstract = "Humans 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.",

author = "G. Praneeth and R. Naveen and Prakash, \{A. Shashi\} and M. Rashmi and Guddeti, \{Ram Mohana Reddy\}",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE Region 10 International Conference, TENCON 2022 ; Conference date: 01-11-2022 Through 04-11-2022",

year = "2022",

doi = "10.1109/TENCON55691.2022.9977948",

language = "English",

series = "IEEE Region 10 Annual International Conference, Proceedings/TENCON",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "Proceedings of 2022 IEEE Region 10 International Conference, TENCON 2022",

address = "United States",

}

Praneeth, G, Naveen, R, Prakash, AS, Rashmi, M & Guddeti, RMR 2022, Vision-based Hand Gesture Interface for Real-time Computer Operation Control. in Proceedings of 2022 IEEE Region 10 International Conference, TENCON 2022. IEEE Region 10 Annual International Conference, Proceedings/TENCON, vol. 2022-November, Institute of Electrical and Electronics Engineers Inc., 2022 IEEE Region 10 International Conference, TENCON 2022, Virtual, Online, Hong Kong, 01-11-22. https://doi.org/10.1109/TENCON55691.2022.9977948

Vision-based Hand Gesture Interface for Real-time Computer Operation Control. / Praneeth, G.; Naveen, R.; Prakash, A. Shashi et al.
Proceedings of 2022 IEEE Region 10 International Conference, TENCON 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (IEEE Region 10 Annual International Conference, Proceedings/TENCON; Vol. 2022-November).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Vision-based Hand Gesture Interface for Real-time Computer Operation Control

AU - Praneeth, G.

AU - Naveen, R.

AU - Prakash, A. Shashi

AU - Rashmi, M.

AU - Guddeti, Ram Mohana Reddy

PY - 2022

Y1 - 2022

N2 - Humans 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.

AB - Humans 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.

UR - https://www.scopus.com/pages/publications/85145650266

UR - https://www.scopus.com/pages/publications/85145650266#tab=citedBy

U2 - 10.1109/TENCON55691.2022.9977948

DO - 10.1109/TENCON55691.2022.9977948

M3 - Conference contribution

AN - SCOPUS:85145650266

T3 - IEEE Region 10 Annual International Conference, Proceedings/TENCON

BT - Proceedings of 2022 IEEE Region 10 International Conference, TENCON 2022

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2022 IEEE Region 10 International Conference, TENCON 2022

Y2 - 1 November 2022 through 4 November 2022

ER -

Praneeth G, Naveen R, Prakash AS, Rashmi M, Guddeti RMR. Vision-based Hand Gesture Interface for Real-time Computer Operation Control. In Proceedings of 2022 IEEE Region 10 International Conference, TENCON 2022. Institute of Electrical and Electronics Engineers Inc. 2022. (IEEE Region 10 Annual International Conference, Proceedings/TENCON). doi: 10.1109/TENCON55691.2022.9977948

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

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All Science Journal Classification (ASJC) codes

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