The utilization of consumer electronics, such as televisions, set-top boxes, home theaters, and air conditioners, has become increasingly prevalent in modern society as technology continues to evolve. As new devices enter our homes each year, the accumulation of multiple infrared remote controls to operate them not only results in a waste of energy and resources, but also creates a cumbersome and cluttered environment for the user. This paper presents a novel system, named SimplyMime, which aims to eliminate the need for multiple remote controls for consumer electronics and provide the user with intuitive control without the need for additional devices. SimplyMime leverages a dynamic hand gesture recognition architecture, incorporating Artificial Intelligence and Human-Computer Interaction, to create a sophisticated system that enables users to interact with a vast majority of consumer electronics with ease. Additionally, SimplyMime has a security aspect where it can verify and authenticate the user utilising the palmprint, which ensures that only authorized users can control the devices. The performance of the proposed method for detecting and recognizing gestures in a stream of motion was thoroughly tested and validated using multiple benchmark datasets, resulting in commendable accuracy levels. One of the distinct advantages of the proposed method is its minimal computational power requirements, making it highly adaptable and reliable in a wide range of circumstances. The paper proposes incorporating this technology into all consumer electronic devices that currently require a secondary remote for operation, thus promoting a more efficient and sustainable living environment.

翻译：随着技术的持续演进，电视机、机顶盒、家庭影院和空调等消费电子设备在现代社会中的应用日益普遍。每年都有新设备进入家庭，而用于操作这些设备的多个红外遥控器不仅造成能源与资源浪费，还给用户带来繁琐杂乱的体验。本文提出一种名为SimplyMime的创新系统，旨在消除对多个消费电子遥控器的需求，使用户无需额外设备即可实现直观控制。SimplyMime采用融合人工智能与人机交互的动态手势识别架构，构建了精密的系统，使用户能够轻松操控绝大多数消费电子设备。此外，该系统具备安全特性：通过掌纹验证与身份认证，确保仅授权用户可控制设备。本文提出的方法在运动流中检测与识别手势的性能，经多个基准数据集全面测试与验证，达到了优异的精度水平。该方法的显著优势之一在于其极低计算功耗需求，使其在多种场景下均具有高度适应性与可靠性。本文建议将该技术集成至当前需依赖辅助遥控器操作的所有消费电子设备中，从而推动更高效、可持续的生活环境建设。