Year: 2025
Type: article
Abstract: — A natural way to accomplish Human-Computer Interaction (HCI) is through the visual interpretation of hand gestures. In this paper, we describe a method for configuring a smart home in which a hand gesture recognition system can be used to control the appliances. More precisely, this recognition system effectively differentiates between pre-trained gestures and correctly identifies them to operate the appliances by using transfer learning, a machine learning technique. In order to activate the appliances, the gestures are sequentially recognized as commands. An Arduino Uno microcontroller, which is connected to the PC where the gesture recognition is actually implemented, is used to control a set of LEDs that represent the appliances in order to demonstrate the proof of concept. .Keywords — Human-Computer Interaction (HCI),Hand Gesture Recognition, Visual Interpretation, Machine Learning, Arduino Uno, Appliance Control
DOI: 10.55041/ijsrem47849
Author: Dr Mary Jansi Rani G
Language: English
Subfield: Human-Computer Interaction
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4410360851