基于红外超宽带和光学传感器驱动的疲劳检测装置的研制

Hanny Boedinoegroho, Adrian Kusuma Rahardjo, A. Kurniawan, I. Purnama
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引用次数: 2

摘要

疲劳是开车时发生事故的最大原因之一。因此,在本研究中,我们开发了一种驾驶员疲劳检测装置。该装置包括一个脉冲无线电超宽带(IR-UWB)传感器,用于检测呼吸(呼吸)波,以及一个光学传感器或光电体积脉搏仪(PPG)传感器,用于检测驾驶员的心跳。呼吸波检测和心率的结果将通过单板计算机处理并显示在显示器上。初始存储将在本地存储上进行,然后将继续到云存储。云存储的使用将使数据存储更容易,使在线监控更容易。驾驶员的数据检索过程在白天进行,在正常路况下使用私家车。设备的数据检索和测试结果将向驾驶员发出警告。如果心率低于每分钟60次(bpm),并且呼吸频率低于每分钟12次,则会发出警告。光学传感器的每个传感器在数据采集过程中的精度为98%,IR-UWB传感器的精度为88%至94%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of Fatigue Detection Device Based On IR-UWB and Optic Sensor to Driver
Fatigue is one of the biggest causes of accidents when driving. Therefore, in this research we developed a fatigue detection device for the driver. This device consists of an Impulse Radio-Ultra Wideband (IR-UWB) sensor that serves to detect breathing (respiratory) waves and an Optics Sensor or photoplethysmograph (PPG) sensor that functions to detect the driver’s heartbeat. The results of respiratory wave detection and heart rate will be processed using a single board computer and displayed on the monitor. Initial storage will be carried out on local storage then will proceed to cloud storage. The use of cloud storage will make data storage easier, making it easier to monitor online. The drivers data retrieval process takes place during the day and uses a private car under normal road conditions. The results of data retrieval and testing of the device will give a warning to the driver. The warning occurs if the heart rate is less than 60 beats per minute (bpm) and the is is less than 12 breaths per minute. The accuracy of each sensor in the data collection process are 98% for optical sensors and 88% to 94% for IR-UWB sensors.
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