Abstract: A technique for measuring the learning capabilities of the student based on normal brain signals is examined and evaluated. There exists a variety of sensors that monitor brain activity and also provide the basis for a BCI. It also includes electroencephalography (EEG). Multiple sensors that exist can in principle detect relevant signals. Practicality and speed considerations exclude most of these options so almost all BCI systems to date depend on detecting signals using sensors. The impact of different environmental conditions has different effects on Cognitive Function. Brain-Computer Interface (BCI) technology for measuring and evaluating a student’s learning ability in a variety of settings. Presumably, the paper discusses how BCI technology can track brain activity, such as attention and cognitive task, as the student learns in different environments. The purpose of this research is obviously to determine which environmental factors, such as noise or lighting, have an effect on the learner’s ability to learn and retain information.

Keywords: Brain-Computer Interfacing (BCI), Electroencephalography (EEG), Cognitive Function, Sensors.

PDF | DOI: 10.17148/IARJSET.2023.10572

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