HAUAR: Home Automation Using Action Recognition

TL;DR

This paper presents HAUAR, a home automation system that uses action recognition to fully automate appliances, reducing human intervention, enhancing privacy, and optimizing energy use with 90% accuracy.

Contribution

The paper introduces a novel action recognition-based approach for home automation that operates without human intervention, improving privacy and energy efficiency.

Findings

Achieved 90% accuracy in real-life tests

Automates home appliances without human control

Enhances data privacy and reduces energy consumption

Abstract

Today, many of the home automation systems deployed are mostly controlled by humans. This control by humans restricts the automation of home appliances to an extent. Also, most of the deployed home automation systems use the Internet of Things technology to control the appliances. In this paper, we propose a system developed using action recognition to fully automate the home appliances. We recognize the three actions of a person (sitting, standing and lying) along with the recognition of an empty room. The accuracy of the system was 90% in the real-life test experiments. With this system, we remove the human intervention in home automation systems for controlling the home appliances and at the same time we ensure the data privacy and reduce the energy consumption by efficiently and optimally using home appliances.