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@article{174307,
        author = {Malavika A S and Shamnas S K and Nidhisha S Dharan},
        title = {VISUAL GESTURE CONTROLLED SMART HOME SYSTEM},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {10},
        pages = {3376-3381},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=174307},
        abstract = {The increasing integration of IoT devices in home automation systems has opened up new avenues for accessibility, particularly for individuals with physical, sensory, or intellectual disabilities. However, these advancements pose challenges for individuals who are mute, bedridden or rely on sign language, particularly when these devices are controlled by voice commands. This project proposes a gesture-based home automation system that utilizes hand gesture recognition technology, designed to enable effortless control of IoT devices through simple hand movements. Our system detects hand gestures in American Sign Language and translates them into commands to control various household appliances. To further enhance the accuracy and reliability of gesture detection, image enhancement using autoencoders and denoising techniques are integrated into the system, ensuring consistent performance even under varying lighting conditions and environments. This technology not only enhances accessibility for people with disabilities but also offers a more intuitive and contactless interface for all users via the gesture recognition using yolov8..Our system demonstrates high reliability and ease of use, with significant potential for further improvement through the integration of artificial intelligence and machine learning techniques.},
        keywords = {Gesture-recognition, Home automation system, American Sign Language(ASL), Autoencoders, Denoising,yolov8.},
        month = {March},
        }