Signal conversion from attention signals to light emitting diodes as an attention level indicator

Abstract

With the advancement of Brain-Computer Interface (BCI), human mind control devices is getting common in the medical field. In this paper, an attention level indicator was proposed in aid to monitor one's attention level especially for Attention Deficient Disorder (ADD) patient. It was designed to activate the number of lightening LED lights by monitoring of the human attention level. NeuroSky Mindwave mobile headset was used to acquire the brain wave attention signals. A MATLAB programme was developed to perform signal processing, included data extraction, error detection and command setting. The extracted attention level parameters from NeuroSky ThinkGear software were set as an input command for activating the LED lights. These programs and commands were delivered to a microcontroller board, the Arduino UNO, to regulate the input and output systems. The LEDs attention level indicator can be used to monitor attention level from time to time. Finally, an experiment was carried out to investigate which type of activities would generate the highest undergraduate engineering students’ attention level. The results found out that female students obtained better focus on paying attention compared to male students. Also, female students shows result that able to focus better during visual based activity whereas male students were good at hands on based activity. However, in general, our group of samples of undergraduates students tend to pay higher attention on visual based activity than audio or hands on activities.