Gesture Controlled Home Automation for People with Disabilities

Abstract

This study examined a Gesture-Controlled home Automation system integrated with Artificial Intelligence (AI) to address accessibility challenges faced by individuals with disabilities and older adults. These groups often encounter difficulties operating standard electrical appliances such as lights, fans, and door locks without assistance. By relying on natural, intuitive gestures such as hand movements, head tilts, or other routine body motions, the system enabled users to control household appliances remotely, removing the need for physical contact with switches or reliance on wearable devices. During the research, a camera and AI algorithms were used to detect and interpret distinct gestures, which were then mapped to various appliance controls. The results showed that this contactless approach improved user convenience and reduced the need for caregiving support, enhancing independence both at home and in office settings. User feedback indicated that the system’s straightforward, intuitive interface promoted confidence in everyday tasks, while also minimizing physical strain. Moreover, the findings suggested that such inclusive technologies could encourage broader social engagement by allowing people with mobility limitations to manage their environment more autonomously. Overall, the study demonstrated that adopting an AI-driven, gesture-based control system can significantly improve daily life for individuals with disabilities and older adults, further contributing to equitable and accessible living environments.