Object Recognition in Human Computer Interaction:- A Comparative Analysis

• URL: http://arxiv.org/abs/2411.04263v1
• Date: Wed, 06 Nov 2024 21:16:02 GMT
• Title: Object Recognition in Human Computer Interaction:- A Comparative Analysis
• Authors: Kaushik Ranade, Tanmay Khule, Riddhi More,
• Abstract summary: The study aims to explore and evaluate the performance of different algorithms in terms of accuracy, robustness, and efficiency. The goal of the study is to improve the design and development of interactive systems that are more intuitive, efficient, and user-friendly.
• Score: 0.0
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• Abstract: Human-computer interaction (HCI) has been a widely researched area for many years, with continuous advancements in technology leading to the development of new techniques that change the way we interact with computers. With the recent advent of powerful computers, we recognize human actions and interact accordingly, thus revolutionizing the way we interact with computers. The purpose of this paper is to provide a comparative analysis of various algorithms used for recognizing user faces and gestures in the context of computer vision and HCI. This study aims to explore and evaluate the performance of different algorithms in terms of accuracy, robustness, and efficiency. This study aims to provide a comprehensive analysis of algorithms for face and gesture recognition in the context of computer vision and HCI, with the goal of improving the design and development of interactive systems that are more intuitive, efficient, and user-friendly.

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