EEG-Based Mental Workload and Perception-Reaction Time of the Drivers While Using Adaptive Cruise Control

Acerra, Ennia Mariapaola; Pazzini, Margherita; Ghasemi, Navid; Vignali, Valeria; Lantieri, Claudio; Simone, Andrea; Flumeri, Gianluca Di; Aricò, Pietro; Borghini, Gianluca; Sciaraffa, Nicolina; Lanzi, Paola; Babiloni, Fabio

doi:10.1007/978-3-030-32423-0_15

Cited by 5 publications

(5 citation statements)

References 34 publications

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“…Analysis of EEG signals is a very complex task which is even more difficult when the main system has to communicate with other various subsystems to source data or maintain proper [ 76 , 105 , 106 , 107 ]. That is due to the non-stationary character of these signals, their susceptibility to various artifacts (external and internal) and other disturbances [ 76 , 106 , 107 ].…”

Section: Overview Of Already Existing Methodsmentioning

confidence: 99%

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Vital Sign Monitoring in Car Seats Based on Electrocardiography, Ballistocardiography and Seismocardiography: A Review

Šidiková

Martínek

Kawala-Sterniuk

et al. 2020

Sensors

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This paper focuses on a thorough summary of vital function measuring methods in vehicles. The focus of this paper is to summarize and compare already existing methods integrated into car seats with the implementation of inter alia capacitive electrocardiogram (cECG), mechanical motion analysis Ballistocardiography (BCG) and Seismocardiography (SCG). In addition, a comprehensive overview of other methods of vital sign monitoring, such as camera-based systems or steering wheel sensors, is also presented in this article. Furthermore, this work contains a very thorough background study on advanced signal processing methods and their potential application for the purpose of vital sign monitoring in cars, which is prone to various disturbances and artifacts occurrence that have to be eliminated.

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Section: Overview Of Already Existing Methodsmentioning

confidence: 99%

“…Any distractions or health problems can affect driving in a negative way resulting in an accident. That is why advanced driver assistance systems—e.g., based on EEG—were introduced [ 105 ].…”

Section: Overview Of Already Existing Methodsmentioning

confidence: 99%

Vital Sign Monitoring in Car Seats Based on Electrocardiography, Ballistocardiography and Seismocardiography: A Review

Šidiková

Martínek

Kawala-Sterniuk

et al. 2020

Sensors

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show abstract

“…In recent years, it has emerged more frequently in studies that measure brain activities in fields such as driving and construction neuroergonomics, (Banaei et al, 2015; Bower et al, 2019; Chen et al, 2016; Di Flumeri et al, 2019; Hu & Shealy, 2019; Jebelli et al, 2018a). For instance, Acerra et al (2019) explored drivers' brain activities while using Adaptive Cruise Control (ACC) through electroencephalographic technique and found that the use of ACC induced an increase in mental workload. Chen et al (2017) investigated construction workers' mental workload using the EEG approach and demonstrated that the technique is effective.…”

Section: Literature Reviewmentioning

confidence: 99%

Neural mechanisms behind semantic congruity of construction safety signs: An EEG investigation on construction workers

et al. 2022

Hum Ftrs & Erg Mfg Svc

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Accurate comprehension of safety signs plays a critical part in warning construction workers of potential work hazards. However, existing studies have rarely investigated construction workers' comprehension of safety signs at construction sites. Moreover, existing evaluation methods are generally based on subjective behavior tests, questionnaires, and interviews. Therefore, this study examined the effects of semantic congruity on the comprehension of safety signs, including two sign types (prohibition vs. warning signs) and two conditions (semantic congruence vs. incongruence), combining event‐related potentials and time‐frequency analysis measurements. Adopting the S1‐S2 paradigm, electroencephalogram data were recorded when participants decided whether S1 and S2 were semantically congruent or not. Results showed that the semantically incongruent safety sign‐word pairs elicited larger N400 amplitudes and increased theta (3–8 Hz) power in 300–420 ms. The amplitude of N400 in the semantically incongruent condition of the warning sign‐word pairs was more negative than that for the prohibition sign‐word pairs, while there were no significant differences between the prohibition and warning sign‐word pairs in the semantically congruent condition. A greater late positive potential (LPP) (550–750 ms) was also elicited in the semantically incongruent safety sign‐word pairs, which was different from previous studies that observed larger LPP in congruent conditions. These results suggest complicated cognitive mechanisms of safety sign comprehension in construction workers. This study extends safety sign comprehension research by using electrophysiological approaches and provides useful indicators for researchers or safety engineers to measure the semantic congruity of proposed sign designs.

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“…Further studies have shown that speed limit signs with warning signs are more effective and valid than simple speed limit signs [7]. (2) Driving load evaluation: Electroencephalography (EEG) signals were used to study the effects of Adaptive Cruise Control (ACC) on driving load and risk perception mechanisms [8]. Gianluca Di Flumeri et al [9] tested an algorithm for evaluating the mental load of drivers under real traffic conditions; however, because the sample size of the experiment is too small, the reliability of the algorithm needs to be further verified.…”

Section: Literature Reviewmentioning

confidence: 99%

Effectiveness and Optimal Location of Real-Time Traffic Conflict Risk Warning System for Rural Unsignalized Intersections: A Driving Simulation Study

Guo

Lee

et al. 2022

Journal of Advanced Transportation

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The real-time traffic conflict risk warning system (RTCRWS) is proposed as a new proactive crash prevention and control strategy for intersections designed to reduce traffic on the main road to rural unsignalized intersections when a vehicle enters the access roads. This study aims at evaluating the effectiveness of the RTCRWS with different locations based on a driving simulation experiment. In this study, four types of the RTCRWS installation location schemes (i.e., no installation, 50 m/100 m/150 m away from the unsignalized intersection) are designed. Twenty-two experienced drivers participated in the driving simulation experiment, and seven evaluating indicators representing driving behavior data are proposed. Two methods to analyze the data are applied: (1) descriptive analysis of driving behavior characteristics different location schemes of the RTCRWS and (2) entropy weight-fuzzy comprehensive evaluation of the RTCRWS. The results show that the RTCRWS has a significant effect on slowing vehicles when approaching the rural unsignalized intersections. If the location of the RTCRWS is 50 m, 100 m, and 150 m from the intersection, the comprehensive score of fuzzy evaluation is 75.82, 74.91, and 77.22, respectively, which implies that the scheme with the RTCRWS 150 m ahead of the intersection is the most effective.

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EEG-Based Mental Workload and Perception-Reaction Time of the Drivers While Using Adaptive Cruise Control

Cited by 5 publications

References 34 publications

Vital Sign Monitoring in Car Seats Based on Electrocardiography, Ballistocardiography and Seismocardiography: A Review

Vital Sign Monitoring in Car Seats Based on Electrocardiography, Ballistocardiography and Seismocardiography: A Review

Neural mechanisms behind semantic congruity of construction safety signs: An EEG investigation on construction workers

Effectiveness and Optimal Location of Real-Time Traffic Conflict Risk Warning System for Rural Unsignalized Intersections: A Driving Simulation Study

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