摘要
The burgeoning field of artificial intelligence(AI)has led to the development of new educational approaches,particularly in the realm of gesture recognition and Internet of Things(IoT)device control.Despite these rapid advancements,practical applications and hands-on learning opportunities remain scarce.Many learners,including students,educators,and software engineers,have limited knowledge of hardware due to a lack of exposure to IoT,AI libraries,and human–machine interfaces.This gap is exacerbated by the absence of demonstrated examples and academic hardware journals.A significant challenge lies in the cumbersome process of updating IoT firmware,which is essential for incorporating new features.This paper introduces a novel solution that eliminates the need for firmware updates.By leveraging the Python Firmata library,applications on the host computer can be updated without affecting the IoT device’s firmware.The Firmata protocol enables seamless communication between the host and microcontroller,facilitating real-time interactions.Additionally,the abstraction capabilities of AI libraries,such as MediaPipe,simplify complex tasks into manageable components.For instance,MediaPipe provides precise hand landmark coordinates,enabling direct control of simple Arduino Nano devices without requiring detailed calculations.The paper’s contributions are valuable for a wide range of professionals,including mathematicians,AI engineers,software engineers,hardware engineers,IoT engineers,and network programmers.
