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.

翻译：人机交互（HCI）是一个被广泛研究多年的领域，技术的持续进步催生了改变我们与计算机交互方式的新技术。随着近年来强大计算机的出现，我们能够识别人体动作并据此进行交互，从而彻底改变了我们与计算机的交互方式。本文旨在对计算机视觉和HCI领域中用于识别用户面部和手势的各种算法进行比较分析。本研究旨在探索和评估不同算法在准确性、鲁棒性和效率方面的性能。本研究旨在对计算机视觉和HCI背景下的面部与手势识别算法进行全面分析，以期改进交互系统的设计与开发，使其更加直观、高效和用户友好。