Year: 2025
Type: article
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
DOI: 10.55041/ijsrem49260
Author: Mudili Jahnavi
Language: English
Subfield: Human-Computer Interaction
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4410925601
