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@article{181593,
        author = {Adhinan Thahir and Navya B Kumar and Zayed Savad and V Karthik and Arya A R},
        title = {Neuromatrix : Intelligent Automation Powered By  EEG Brainwaves},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {1},
        pages = {5189-5194},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=181593},
        abstract = {This paper introduces NeuroMatrix, an innovative brain-computer interface (BCI) system that enables hands-free control of Internet of Things (IoT) devices using Electroencephalography (EEG) signals. Designed to enhance accessibility and independence for individuals with disabilities, the system leverages advanced signal processing and machine learning algorithms to classify mental states—such as focus or relaxation—and convert them into actionable commands. NeuroMatrix integrates EEG hardware with microcontrollers and wireless communication protocols to control home automation devices, mobility tools, and assistive systems in real time. This paper presents the architecture, sensor integration, implementation strategy, results, and future potential of the NeuroMatrix framework.},
        keywords = {EEG, brain-computer interface, IoT automation, assistive technology, machine learning.},
        month = {June},
        }