Gesture-Controlled Home Automation for the Differently Abled: Enhanced Accessibility and Independence

This paper points to designing and executing a home appliance automation system specifically for the differently abled. It uses recently developed and booming technologies such as the Internet of Things (IoT) and machine learning along with cloud computing to allow users to control home appliances using gestures and visual signs. The proposed project will work via a central hub through which all devices will run and be connected across the network. It is a highly customizable system that will allow the storage of preferred gestures in case the user needs to. The developed system allows the users to control different equipment such as fans, lights, television, Air Conditioning etc; with gestures. For instance, a user can switch on the AC by performing a certain gesture and turn it off by performing another gesture. It also has an inbuilt alerting system in case there is any failure in the device. The proposed system has the potential to improve the quality of life of deaf people by enabling them to control home appliances more easily and efficiently. By reducing the need for verbal communication, the system can improve their independence and reduce their dependence on caregivers, also bringing down the living costs and increasing accessibility.