Gesture recognition system for controlling iot systems
The development of the Internet of Things (IoT) opens up new opportunities for creating intelligent services that enhance user interaction with surrounding devices. Modern IoT systems primarily use touchscreens and mobile applications for control; however, gesture-based methods can significantly expand their functionality. This work proposes a gesture recognition system applied to the control of IoT devices. The core of the system is the classification of finger movement trajectories using a Hidden Markov Model (HMM).