Controlling Computer Using Hand Gestures

Abstract: In the realm of Human-Computer Interaction (HCI), the integration of webcams and various sensors has made gesture recognition increasingly accessible and impactful. Hand gestures provide a natural and intuitive mode of communication, enabling seamless interaction between humans and computers. This paper highlights the potential of hand gestures as an effective medium for non-verbal communication and control, with applications spanning across multiple domains. The proposed system leverages image processing techniques, sensor technologies, and computer vision to enable gesture-based computer control. Emphasis is placed on the interdisciplinary nature of the research, including its applications in fields such as machine learning, healthcare, and mobile technology. Keywords: Hand Gesture Recognition, Human-Computer Interaction, Sensor Technology, Image Processing, Machine Learning, Android Application, Diabetes Monitoring, Computer Vision

Authors

Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2025-05-31
DOI
https://doi.org/10.55041/ijsrem49260
Primary Topic
Hand Gesture Recognition Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Controlling Computer Using Hand Gestures

M. Jahnavi
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Hand Gesture Recognition Systems
article

Controlling Computer Using Hand Gestures

M. Jahnavi
article en

Abstract

Abstract: In the realm of Human-Computer Interaction (HCI), the integration of webcams and various sensors has made gesture recognition increasingly accessible and impactful. Hand gestures provide a natural and intuitive mode of communication, enabling seamless interaction between humans and computers. This paper highlights the potential of hand gestures as an effective medium for non-verbal communication and control, with applications spanning across multiple domains. The proposed system leverages image processing techniques, sensor technologies, and computer vision to enable gesture-based computer control. Emphasis is placed on the interdisciplinary nature of the research, including its applications in fields such as machine learning, healthcare, and mobile technology. Keywords: Hand Gesture Recognition, Human-Computer Interaction, Sensor Technology, Image Processing, Machine Learning, Android Application, Diabetes Monitoring, Computer Vision

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 09(05)
Openalex Percentile: Top 89%
Hand Gesture Recognition Systems
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Controlling Computer Using Hand Gestures — M. Jahnavi · INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT (2025) | TGRS Research Map | TGRS