Development of Prototype of Automatic Wheelchair Controlled by Brain-Computer Interface System
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Abstract
This research was designed and development of prototype of automatic wheelchair controlled by brain computer interface system. The purpose of this research was to study the measuring brain wave using Neurosky Mindset which using dry sensor measure between the front lobe (FP1) and the ear lobe. The EEG signal feature are extracted by adopting Discrete Wavelet Transform (DWT) that using LabVIEW programming. The resolution of EEG signals was decomposition mind wave into five frequency band (gamma, beta, alpha, theta and delta) using “DB8” wavelet function. The calculation of wavelet coefficient energy and RMS amplitude of EEG signals are used by LabVIEW. The controlled prototype electric wheelchair used by eye blink of eye blink of human control.
The results of the study found that control of prototype electric wheelchair can be controlled by EEG signals in direction of forward backward turn lift turn right and stop. In addition, it can be applied to the control of electric wheelchairs, alarm system, and electrical equipment. As well as, the elderly or patients cannot use the muscles to operate those devices.
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