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 [0.8, 45] 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.
Design of a low cost EEG sensor for the measurement of stress-related brain activity during driving
Affanni A.;
2021-01-01
Abstract
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 [0.8, 45] 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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
