AI-Driven Behavioral and Motion Based Control of Electrical Appliances for Physically Challenged Individuals
Abstract
The aim of this project works towards the design of a smart system that utilizes behavior and motion for controlling electrical appliances within the house. The system is designed to assist physically disabled individuals in making their lives easier. The system incorporates the use of sensors that do not have to come into contact, such as Passive Infrared sensors, ultrasonic sensors, and Inertial Measurement Units. The system requires computer programs to analyze the input provided by the sensors in real time for the system to be able to determine what the individual wants to do next. The system can turn on light, fan, or air conditioners using special switches known as relay modules. The system can analyze data instantly, meaning it reacts quickly and functions even when the internet connection is off. Through its ability to sense the actions performed by the individual and the environmental aspects, the system makes life more accessible for people and allows individuals to be more independent. Additionally, the system reduces energy by only using appliances when they are necessary.
Fields of Study & Subjects
Context-Aware Activity Recognition Systems
Assistive Technology in Communication and Mobility
IoT-based Smart Home Systems
Publication details
- Journal / source
- International Conference on Mobile Computing and Sustainable Informatics (ICMCSI)
- Pages
- 1161–1166
- Publication date
- 7 January 2026
- Language
- EN