Cursor Control using Hand Gestures

Author(s)	Twinkle shukla, Pradip mahajan, Ayush mandlik, Pratik diivekar, Suraj burange
Country	India
Abstract	Abstract This paper introduces an innovative vision-based cursor control system that utilizes a webcam to capture hand gestures via a color detection technique. With this system, users can navigate the computer cursor by moving their hands adorned with colored caps or tapes. It also enables various cursor functions, such as right and left clicks, double clicks, and scrolling, by recognizing different hand gestures. This system relies solely on a low-resolution webcam as a sensor, tracking the user's hand with colored caps in two dimensions and interpreting up to five distinct hand gestures, which correspond to mouse functions.
Keywords	The key aspects of this work revolve around Cursor Control (CC), Human-Computer Interaction (HCI), and Human-Robot Interaction (HRI), with the use of Hue Saturation Value (HSV) for color detection. , NUI (Natural User Interaction) , MHI (Motion History Image).
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 5, Issue 6, November-December 2023
Published On	2023-11-12
Cite This	Cursor Control using Hand Gestures - Twinkle shukla, Pradip mahajan, Ayush mandlik, Pratik diivekar, Suraj burange - IJFMR Volume 5, Issue 6, November-December 2023. DOI 10.36948/ijfmr.2023.v05i06.8576
DOI	https://doi.org/10.36948/ijfmr.2023.v05i06.8576
Short DOI	https://doi.org/gs4xtg

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