Study on the Potential of an Artificial Intelligence-Based Algorithm for Hand Gesture-Controlled Lighting Systems

Gesture recognition has gained significant traction in the fields of computer vision and machine learning, offering users a natural and intuitive means of interacting with robots and system interfaces without the need for additional equipment. The primary objective of gesture recognition within human-computer interaction (HCI) is to develop systems capable of identifying specific human gestures and utilizing them for conveying information or controlling devices. To accomplish this, hand gesture interfaces based on visual input necessitate swift and highly precise hand detection alongside real-time gesture recognition. This article presents a comprehensive solution utilizing machine learning algorithms that can be universally applied to a diverse range of real-time gesture recognition systems for human-computer interfaces. The proposed system facilitates controlling the LED light, enabling users to switch it on or off based on the recognition of hand gestures.