A Dataset for classification of road and types using EOG smart glasses
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For the data acquisition we used JINS MEME smart glasses -- a device furnished with three-point EOG and six-axis inertial measurement unit (IMU) with an accelerometer and a gyroscope. The sampling frequency of the acquired signals is 100 Hz. The data are transmitted to a computer via Bluetooth or USB and can be exported to CSV file.Data were acquired under real road conditions from 30 healthy subjects, including twenty experienced drivers and ten students attending a driving school. 16 males and 14 females with average age = 38 +-17 participated in the study.All data were labeled during the drive and then divided the into four groups regarding the type of the road:highway (autostrada),city road (ruch miasto),undeveloped area (miasto niezabudowane),housing estate (ruch osiedle),The labeling process was performed manually by simply putting a marker when the particular type of road started and ended.
本数据集的采集采用了JINS MEME智能眼镜——该设备配备三点式脑电图(EOG)和六轴惯性测量单元(IMU),内置加速度计和陀螺仪。所采集信号的采样频率为100赫兹。数据通过蓝牙或USB传输至计算机,并可导出为CSV文件。数据采集于真实道路条件下进行,研究对象包括30名健康个体,其中20名为经验丰富的驾驶员,10名为驾驶学校的学生。参与研究的男性16名,女性14名,平均年龄为38岁±17岁。所有数据均在驾驶过程中进行标注,并根据道路类型分为四组:高速公路(autostrada)、城市道路(ruch miasto)、未开发区域(miasto niezabudowane)和住宅区(ruch osiedle)。标注过程由人工完成,即在特定类型道路的起始点和终点处放置标记。
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IEEE Dataport



