Analysis of Differences in ECG Characteristics for Different Types of Drivers under Anxiety
Anxiety is a complex emotion characterized by an unpleasant feeling of tension when people anticipate a threat or negative consequence. It is regarded as a comprehensive reflection of human thought processes, physiological arousal, and external stimuli. The actual state of emotion can be represented...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Advances in Civil Engineering |
| Online Access: | http://dx.doi.org/10.1155/2021/6640527 |
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| _version_ | 1832561441507377152 |
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| author | Yongqing Guo Xiaoyuan Wang Qing Xu Quan Yuan Chenglin Bai Xuegang (Jeff) Ban |
| author_facet | Yongqing Guo Xiaoyuan Wang Qing Xu Quan Yuan Chenglin Bai Xuegang (Jeff) Ban |
| author_sort | Yongqing Guo |
| collection | DOAJ |
| description | Anxiety is a complex emotion characterized by an unpleasant feeling of tension when people anticipate a threat or negative consequence. It is regarded as a comprehensive reflection of human thought processes, physiological arousal, and external stimuli. The actual state of emotion can be represented objectively by human physiological signals. This study aims to analyze the differences of ECG (electrocardiogram) characteristics for various types of drivers under anxiety. We used several methods to induce drivers’ mood states (calm and anxiety) and then conducted the real and virtual driving experiments to collect driver’s ECG signal data. Physiological changes in ECG during the experiments were recorded using the PSYLAB software. The independent sample t-test analysis was conducted to determine if there are significant differences in ECG characteristics for different types of drivers in anxious state during driving. The results show that there are significant differences in ECG signal characteristics of drivers by gender, age, and driving experience, in time domain, frequency domain, and waveform under anxiety. Our findings of this study contribute to the development of more intelligent and personalized driver warning system, which could improve road traffic safety. |
| format | Article |
| id | doaj-art-8eb77646c9674b5f88215f92fa45c7d4 |
| institution | Kabale University |
| issn | 1687-8086 1687-8094 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Civil Engineering |
| spelling | doaj-art-8eb77646c9674b5f88215f92fa45c7d42025-02-03T01:25:00ZengWileyAdvances in Civil Engineering1687-80861687-80942021-01-01202110.1155/2021/66405276640527Analysis of Differences in ECG Characteristics for Different Types of Drivers under AnxietyYongqing Guo0Xiaoyuan Wang1Qing Xu2Quan Yuan3Chenglin Bai4Xuegang (Jeff) Ban5School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255049, ChinaJoint Laboratory for Internet of Vehicles, Ministry of Education-China Mobile Communications Corporation, Tsinghua University, Beijing 100048, ChinaState Key Laboratory of Automotive Safety and Energy, School of Vehicle and Mobility, Tsinghua University, Beijing 100084, ChinaState Key Laboratory of Automotive Safety and Energy, School of Vehicle and Mobility, Tsinghua University, Beijing 100084, ChinaSchool of Physics Science and Communication Engineering, Liaocheng University, Liaocheng 252000, ChinaDepartment of Civil and Environmental Engineering, University of Washington, Seattle, WA, USAAnxiety is a complex emotion characterized by an unpleasant feeling of tension when people anticipate a threat or negative consequence. It is regarded as a comprehensive reflection of human thought processes, physiological arousal, and external stimuli. The actual state of emotion can be represented objectively by human physiological signals. This study aims to analyze the differences of ECG (electrocardiogram) characteristics for various types of drivers under anxiety. We used several methods to induce drivers’ mood states (calm and anxiety) and then conducted the real and virtual driving experiments to collect driver’s ECG signal data. Physiological changes in ECG during the experiments were recorded using the PSYLAB software. The independent sample t-test analysis was conducted to determine if there are significant differences in ECG characteristics for different types of drivers in anxious state during driving. The results show that there are significant differences in ECG signal characteristics of drivers by gender, age, and driving experience, in time domain, frequency domain, and waveform under anxiety. Our findings of this study contribute to the development of more intelligent and personalized driver warning system, which could improve road traffic safety.http://dx.doi.org/10.1155/2021/6640527 |
| spellingShingle | Yongqing Guo Xiaoyuan Wang Qing Xu Quan Yuan Chenglin Bai Xuegang (Jeff) Ban Analysis of Differences in ECG Characteristics for Different Types of Drivers under Anxiety Advances in Civil Engineering |
| title | Analysis of Differences in ECG Characteristics for Different Types of Drivers under Anxiety |
| title_full | Analysis of Differences in ECG Characteristics for Different Types of Drivers under Anxiety |
| title_fullStr | Analysis of Differences in ECG Characteristics for Different Types of Drivers under Anxiety |
| title_full_unstemmed | Analysis of Differences in ECG Characteristics for Different Types of Drivers under Anxiety |
| title_short | Analysis of Differences in ECG Characteristics for Different Types of Drivers under Anxiety |
| title_sort | analysis of differences in ecg characteristics for different types of drivers under anxiety |
| url | http://dx.doi.org/10.1155/2021/6640527 |
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