利用脑电图信号进行生物特征识别及控制电子设备

Ms.S.Anitha Jebamani, M. Ragavi, K. Nivetha.
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引用次数: 0

摘要

计算机系统和人脑之间的直接联系被称为“脑机接口”,简称BCI。脑机接口(BCI)读取人脑内部特定位置的脑电波,将这些信号转化为动作和指令,从而控制计算机系统。我们支持将这一代与家庭自动化相结合。这种接口设备对严重残疾或受限的人特别有帮助,他们对与周围周边设备接触的身体部位缺乏可靠的肌肉控制。该机器由两个部分组成:脑电图传感器电路和Arduino微控制器板。脑电波是用电极捕捉到的。这些指标经过过滤和放大,以消除噪音。这些模拟信号被转换成数字信号。数字警报被解码并用于在设备上交换
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Biometric Recognition Using EEG Signals And Controlling The Electrical Devices
The direct link between computer systems and the human brain is known as a “brain computer interface,” or BCI. The BCI reads the waves composed of the brain at exclusive places inside the human head, translates those indicators into movements and instructions,which can control the computer systems. We endorse combining this generation with home automation. This interface device is especially helpful for people who are severely disabled or confined and lack reliable muscular control over the parts of their bodies that are engaged with surrounding peripherals. The machine entails two components: an EEG sensor circuit and Arduino microcontroller board. The mind waves are captured using electrodes. These indicators are filtered and amplified to take away noise. These analog signs are converted to digital. The digital alerts are decoded and are used to exchange on a device
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