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Co-Organisers:
I-RICE'26
4th International Research, Innovation, Creativity & Engineering Project Competition 2026

Project ID:
ITCS04301 (Virtual Mode)
Smart Gesture-Controlled Home System
Project Title:
Category:
Information Technology/ Computer Science/ AI
Inventors:
Lim Jie Lyn, Kok Yi Hen, Shaffika bte Mohd Suhaimi, Renuka Nalinggam
Institution/Company:
Southern University College
Invention Description/ Abstract:
Malaysia's population aged 65 years and above increased to 8.0% in 2025, highlighting the growing need for accessible and user-friendly smart home technologies that support independent living among older adults. Conventional home control methods rely on wall switches, multiple remote controls, voice commands, or text-based mobile interfaces, which may be inconvenient for elderly users with limited mobility, reduced physical strength, hand tremors, visual impairments, or difficulty understanding complex interfaces. Therefore, a more intuitive, touchless, and elderly-friendly home control solution is required. The Smart Gesture-Controlled Home System is proposed as a mobile application-based home automation prototype that enables users to operate virtual home appliances through predefined hand gestures captured using a camera-based gesture recognition interface. The objective of this project is to improve convenience and accessibility by allowing users to control appliances such as lights, fans, and televisions without physical contact. The proposed system provides an icon-based appliance selection interface followed by gesture execution through the smartphone camera, where captured gestures are processed through image acquisition, hand detection, feature extraction, and gesture recognition before being translated into corresponding appliance commands. To further enhance accessibility, the system can also be deployed on a large Smart Display (Smart Home Hub) as an alternative interaction device, providing a larger user interface, fixed camera positioning for improved gesture detection, hands-free operation, and continuous monitoring for bedridden elderly users, wheelchair users, and elderly care environments. By centralizing multiple appliance controls into a single application, the proposed innovation reduces dependence on physical switches, multiple remote controls, and voice commands while promoting a more natural human-computer interaction experience. In conclusion, this project offers a practical and accessible smart home solution that improves the quality of life for elderly users and provides a foundation for future integration with real Internet of Things (IoT) home automation systems.
Invention Technical Description
The Smart Gesture-Controlled Home System is a mobile-first, AI-based home automation prototype designed to improve accessibility for elderly users and individuals with limited mobility. It enables users to control virtual household appliances through predefined hand gestures captured by a smartphone camera. A Large Smart Display, referred to as the Smart Home Hub, is also provided as an alternative platform with a larger interface, fixed camera position and hands-free operation.
The technical workflow begins when the camera captures the user’s hand gesture. The input then passes through image acquisition, pre-processing, hand detection, feature extraction, gesture recognition and confidence checking. Once a valid gesture is identified, the action interpreter maps it to the relevant appliance command, updates the virtual appliance state and displays feedback. Invalid or unclear gestures produce an error or retry message.
Users select appliances by showing one finger for the light, two fingers for the fan and three fingers for the television. A right swipe turns on the selected appliance, while a left swipe turns it off. Upward and downward swipes adjust light brightness, fan speed or television volume. Left-arc and right-arc gestures change television channels. Appliances must be turned on before their other controls can be used.
The prototype centralises control of virtual lights, fans and televisions within one interface. Manual buttons are included as a fallback when gesture recognition is difficult or touch control is preferred. A Stop All Appliances function turns off all active appliances simultaneously. Accessibility features include large buttons, adjustable text sizes, high-contrast presentation, camera-sensitivity settings, multilingual support, voice feedback and camera recalibration.
The system currently demonstrates software-based control of virtual appliances rather than real electrical hardware. Its modular architecture provides a foundation for future cloud storage, gesture and activity logging, monitoring, analytics and integration with real Internet of Things smart-home devices.
Demostration/ Presentation Video
Poster/ Broucher/ Invention Photo
Additional Documents
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