Design of a low cost EEG sensor for the measurement of stress-related brain activity during driving

被引：6

作者：

Affanni, Antonio ^{[1
]}

Najafi, Taraneh Aminosharieh ^{[1
]}

Guerci, Sonia ^{[2
]}

机构：

[1] Univ Udine, Polytechinc Dept Engn & Architecture, Udine, Italy

[2] Eurisoft SP, Tavagnacco, UD, Italy

来源：

2021 IEEE INTERNATIONAL WORKSHOP ON METROLOGY FOR AUTOMOTIVE (METROAUTOMOTIVE) | 2021年

关键词：

driver stress measurement; EEG sensors; driving simulators;

D O I：

10.1109/MetroAutomotive50197.2021.9502859

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper we present the design, development, characterization and testing of a six channels EEG wearable sensor for the measurement of stress-related brain activity during driving. The sensor is battery operated and transmits data to a laptop using WiFi. The metrological characterization showed non-linearity in the order of 0.8%, the resolution is 50 nV using oversampling technique and the bandwidth is in the range 10.8, 451 Hz. The sensor has been tested on a driving simulator where the aim was comparing manual driving with a smooth ADAS algorithm and with an aggressive ADAS algorithm. The results show that the measured power of beta waves (related to stress) is much higher in aggressive ADAS with respect to smooth ADAS and manual driving.

引用

页码：152 / 156

页数：5