Record Details

Gesture Recognition for Enhancing Human Computer Interaction

NOPR - NISCAIR Online Periodicals Repository

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Title Gesture Recognition for Enhancing Human Computer Interaction
 
Creator Chakravarthi, Sangapu Sreenivasa
Rao, B Narendra Kumar
Challa, Nagendra Panini
Ranjana, R
Rai, Ankush
 
Subject Extreme learning
Finger tracking
Hand gesture
Motion detection
Voice commands
 
Description 438-443
Gesture 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 business
 
Date 2023-04-03T09:56:54Z
2023-04-03T09:56:54Z
2023-04
 
Type Article
 
Identifier 0022-4456 (Print); 0975-1084 (Online)
http://nopr.niscpr.res.in/handle/123456789/61653
https://doi.org/10.56042/jsir.v82i04.72387
 
Language en
 
Publisher NIScPR-CSIR,India
 
Source JSIR Vol.82(04) [April 2023]