Comparative Analysis on EEG Controlled Wheelchair using Raspberry Pi and ATMEGA-328 Microcontroller

Abstract

Aim: The aim of this research work is to analyze the accuracy of the ATMEGA-328 Microcontroller, used in Electroencephalogram(EEG) controlled wheelchairs, and to compare the accuracy rate between ATMEGA-328 and Raspberry Pi microcontroller.
Materials and Methods: Data collection containing innovative wheelchair control movement output from the hardware designed
was used in this research.samples were considered as (N=20) for ATMEGA-328 microcontroller , and (N=20) for Raspberry Pi
microcontroller in accordance to total sample size calculated using clinical.com by keeping the alpha error threshold by 0.05,
enrollment ratio as 0:1,95% confidence interval , power at 80%. Result: Comparison of accuracy rate is done by independent sample test using IBM-SPSS software.There is a statistical indifference between the output obtained from ATMEGA-328 (65.4%) showed higher results in comparison to Raspberry Pi (58.4%) with (p=0.080;p>0.05). Conclusion: EPOC headset appears to give better sensitivity than Neurosky mindwave portable headset in processing the EEG signals in an EEG controlled wheelchair.