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Enhancing Home Automation through Brain-Computer Interface Technology

. Danish Ahmed, Veena Dillshad, Abdul Samad Danish , Faiza Jahangir, Hira Kashif & Tayyaba Shahbaz


In the evolution of intelligent technologies, the intersection of sophisticated interfaces and home automation has created unprecedented prospects for effortless and intuitive exchanges within our personal living environments. The objective of this study is to examine the amalgamation of Brain-Computer Interface (BCI) technology and home automation systems to determine whether direct neural interactions have the capacity to transform the way users interact with smart devices within their residences. The investigation challenges the traditional demarcation between human cognition and device manipulation, positing a future in which individuals may utilize cognitive signals to control devices. By examining the potential, challenges, and paradigm-shifting effects of BCI in home automation, this paper attempts to make a scholarly contribution to the ongoing dialogue surrounding the convergence of smart home technology and neuroscience. By examining unorthodox applications such as brain-computer interfaces (CCIs) in education, trends in freelancing, interactive learning, and IoT-enabled smart aquariums, this research investigates the revolutionary potential of BCI to enhance interaction and control in smart home environments. By integrating neuroscience, technology, and home automation, the interdisciplinary approach envisions a future in which inhabitants respond autonomously to cognitive signals and commands.


Index Terms- Brain-Computer Interface (BCI), Home Automation, Intelligent Technologies, User Interaction, Neural Interactions, Smart Devices, Cognitive Signals

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