VIRTUAL MOUSE LEVERAGING GESTURE RECOGNITION AND VOICE COMMAND TECHNOLOGIES

Recent advancements in AI technologies, including virtual mice, gesture recognition, and voice assistants, have sparked considerable research and development.This survey paper aims to deliver a thorough overview of cutting-edge techniques and applications in AI-driven human-computer interaction, utilizing tools like MediaPipe and OpenCV.It focuses on controlling projects through hand gestures and voice commands, developing an AI virtual mouse that incorporates gesture recognition, and leveraging these technologies for location-based tasks.By exploring various methodologies and implementations, this survey provides insights into current trends, challenges, and future possibilities in this dynamic field, offering valuable information for researchers and practitioners in computer science and artificial intelligence.

Publication Details

Journal
International Journal of Progressive Research in Engineering Management and Science
Published
2024-10-04
DOI
https://doi.org/10.58257/ijprems36143
Primary Topic
Hand Gesture Recognition Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

VIRTUAL MOUSE LEVERAGING GESTURE RECOGNITION AND VOICE COMMAND TECHNOLOGIES

International Journal of Progressive Research in Engineering Management and Science
Hand Gesture Recognition Systems
article

VIRTUAL MOUSE LEVERAGING GESTURE RECOGNITION AND VOICE COMMAND TECHNOLOGIES

article en

Abstract

Recent advancements in AI technologies, including virtual mice, gesture recognition, and voice assistants, have sparked considerable research and development.This survey paper aims to deliver a thorough overview of cutting-edge techniques and applications in AI-driven human-computer interaction, utilizing tools like MediaPipe and OpenCV.It focuses on controlling projects through hand gestures and voice commands, developing an AI virtual mouse that incorporates gesture recognition, and leveraging these technologies for location-based tasks.By exploring various methodologies and implementations, this survey provides insights into current trends, challenges, and future possibilities in this dynamic field, offering valuable information for researchers and practitioners in computer science and artificial intelligence.

International Journal of Progressive Research in Engineering Management and Science
Openalex Percentile: Top 83%
Hand Gesture Recognition Systems
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