Mouse Cursor Control Using Dynamic Hand Gesture Recognition

Hand gestures are the most common way of interaction among humans in the physical world. Gestures are used in everyday life to interact with objects around us. Hand gesture is becoming the most comfortable alternative technique to replace the conventional mouse. Herein, we report the development of a dynamic hand gesture user interface that tracks and recognizes in real time based on color segmentation and recognition. Operation such as file dragging, right and left clicks and scrolling up and down has been studied. The colors are calibrated in order to make sure that no other similar shades of color from the background interfere during the process.

Authors

Institutions

Publication Details

Published
2024-09-19
DOI
https://doi.org/10.1109/iicccs61609.2024.10763908
Primary Topic
Hand Gesture Recognition Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Mouse Cursor Control Using Dynamic Hand Gesture Recognition

Anirban Bhowmik, Arpita Das, Biswajit Das, Tanmoy Majumder et al.
Hand Gesture Recognition Systems
article

Mouse Cursor Control Using Dynamic Hand Gesture Recognition

Anirban Bhowmik, Arpita Das, Biswajit Das, Tanmoy Majumder, B. Mitra, David Fonseca
article en

Abstract

Hand gestures are the most common way of interaction among humans in the physical world. Gestures are used in everyday life to interact with objects around us. Hand gesture is becoming the most comfortable alternative technique to replace the conventional mouse. Herein, we report the development of a dynamic hand gesture user interface that tracks and recognizes in real time based on color segmentation and recognition. Operation such as file dragging, right and left clicks and scrolling up and down has been studied. The colors are calibrated in order to make sure that no other similar shades of color from the background interfere during the process.

National Institute of Technology Agartala (IN), Vellore Institute of Technology University (IN)
Openalex Percentile: Top 79%
Hand Gesture Recognition Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Mouse Cursor Control Using Dynamic Hand Gesture Recognition — Anirban Bhowmik, Arpita Das, et al. · (2024) | TGRS Research Map | TGRS