通过脑电波实时控制风扇转速的协议

2019 IEEE 9th Symposium on Computer Applications & Industrial Electronics (ISCAIE) Pub Date : 2019-04-01 DOI:10.1109/ISCAIE.2019.8743948

M. A. Mazlan, W. Mansor, A. Z. Ahmad Zainuddin

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引用次数: 1

摘要

不需要使用手的辅助技术对残疾人和老年人非常有用。本文介绍了利用脑电图实时控制风机转速的协议。从脑电图信号中检测到的眨眼行为被用来表示控制风扇转速的意图。采用双帧和缓冲的方式对脑电信号进行实时采集。通过检测脑电图信号中的眨眼事件，并将控制信号传递给单片机，实现对风扇转速的控制。该算法根据检测到的眨眼次数来控制风扇转速。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Protocol for Controlling Fan Speed in Real Time via Brain Waves

Assistive technology that does not require the use of hands is very useful for disabled people and senior citizens. This paper describes the protocol for controlling the fan speed in real time using EEG. Eye blinks detected from EEG signal were used to represent the intention to control the fan speed. The acquisition of the EEG signal in real time was carried out using two frames and buffer. The fan speed was controlled by detecting the eye blink event in the EEG signal and transferring the control signal to the microcontroller. The algorithm has managed to control the fan speed according to the numbers of eye blink detected.

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2019 IEEE 9th Symposium on Computer Applications & Industrial Electronics (ISCAIE)

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