Monitoring Driving Psychological Fatigue Through Unconstrained Heartbeat Signal Extraction by Using Pressure Sensor Array
The feasibility of monitoring driving psychological fatigue through unconstrained heartbeat extraction by using pressure sensors array was investigated. The pressure signals were obtained by close contact between subject's back and backrest of car seat. Correlation coefficients of electrocardio...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8936923/ |
| _version_ | 1818330211987488768 |
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| author | Sun Hongchang Zhang Zhijing Jin Xin Deng Sanpeng Jiang Yongxiang Zheng Zhongpeng |
| author_facet | Sun Hongchang Zhang Zhijing Jin Xin Deng Sanpeng Jiang Yongxiang Zheng Zhongpeng |
| author_sort | Sun Hongchang |
| collection | DOAJ |
| description | The feasibility of monitoring driving psychological fatigue through unconstrained heartbeat extraction by using pressure sensors array was investigated. The pressure signals were obtained by close contact between subject's back and backrest of car seat. Correlation coefficients of electrocardiogram signals and pressure signals were used to select the optimal monitoring point due to the unavoidable adjustment of sitting posture during long times of driving. Lifting wavelet transform was applied for de-noising. J-J interval signals, which represent heartbeat signals, were extracted. The correlation dimension of heartbeat signals, reflecting the complicated degree and the chaotic level of a nonlinear dynamic system, was used as the indicator to determine the psychological fatigue. Its validity was verified by the consistency of correlation dimension with R-R interval (represents cardiac cycle). Finally, questionnaires during driving were administered. The effectiveness of this method to judge driver psychological fatigue was confirmed. This finding indicates that driving psychological fatigue can be monitored through unconstrained heartbeat signal extraction by using the pressure sensor array. |
| first_indexed | 2024-12-13T13:00:21Z |
| format | Article |
| id | doaj.art-247e9b4877744ba3824086175dc31404 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-13T13:00:21Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-247e9b4877744ba3824086175dc314042022-12-21T23:45:03ZengIEEEIEEE Access2169-35362020-01-018221932220210.1109/ACCESS.2019.29606928936923Monitoring Driving Psychological Fatigue Through Unconstrained Heartbeat Signal Extraction by Using Pressure Sensor ArraySun Hongchang0https://orcid.org/0000-0002-0149-612XZhang Zhijing1https://orcid.org/0000-0002-4305-9761Jin Xin2https://orcid.org/0000-0003-0509-116XDeng Sanpeng3https://orcid.org/0000-0001-5398-0741Jiang Yongxiang4https://orcid.org/0000-0002-1683-964XZheng Zhongpeng5https://orcid.org/0000-0003-0705-7424School of Mechanical Engineering, Beijing Institute of Technology, Beijing, ChinaSchool of Mechanical Engineering, Beijing Institute of Technology, Beijing, ChinaSchool of Mechanical Engineering, Beijing Institute of Technology, Beijing, ChinaInstitute of Robotics and Intelligent Equipment, Tianjin University of Technology and Education, Tianjin, ChinaInstitute of Robotics and Intelligent Equipment, Tianjin University of Technology and Education, Tianjin, ChinaSchool of Mechanical Engineering, Beijing Institute of Technology, Beijing, ChinaThe feasibility of monitoring driving psychological fatigue through unconstrained heartbeat extraction by using pressure sensors array was investigated. The pressure signals were obtained by close contact between subject's back and backrest of car seat. Correlation coefficients of electrocardiogram signals and pressure signals were used to select the optimal monitoring point due to the unavoidable adjustment of sitting posture during long times of driving. Lifting wavelet transform was applied for de-noising. J-J interval signals, which represent heartbeat signals, were extracted. The correlation dimension of heartbeat signals, reflecting the complicated degree and the chaotic level of a nonlinear dynamic system, was used as the indicator to determine the psychological fatigue. Its validity was verified by the consistency of correlation dimension with R-R interval (represents cardiac cycle). Finally, questionnaires during driving were administered. The effectiveness of this method to judge driver psychological fatigue was confirmed. This finding indicates that driving psychological fatigue can be monitored through unconstrained heartbeat signal extraction by using the pressure sensor array.https://ieeexplore.ieee.org/document/8936923/Pressure sensor arraycorrelation coefficientsheartbeat signalsunconstrained heartbeat extractioncorrelation dimension |
| spellingShingle | Sun Hongchang Zhang Zhijing Jin Xin Deng Sanpeng Jiang Yongxiang Zheng Zhongpeng Monitoring Driving Psychological Fatigue Through Unconstrained Heartbeat Signal Extraction by Using Pressure Sensor Array IEEE Access Pressure sensor array correlation coefficients heartbeat signals unconstrained heartbeat extraction correlation dimension |
| title | Monitoring Driving Psychological Fatigue Through Unconstrained Heartbeat Signal Extraction by Using Pressure Sensor Array |
| title_full | Monitoring Driving Psychological Fatigue Through Unconstrained Heartbeat Signal Extraction by Using Pressure Sensor Array |
| title_fullStr | Monitoring Driving Psychological Fatigue Through Unconstrained Heartbeat Signal Extraction by Using Pressure Sensor Array |
| title_full_unstemmed | Monitoring Driving Psychological Fatigue Through Unconstrained Heartbeat Signal Extraction by Using Pressure Sensor Array |
| title_short | Monitoring Driving Psychological Fatigue Through Unconstrained Heartbeat Signal Extraction by Using Pressure Sensor Array |
| title_sort | monitoring driving psychological fatigue through unconstrained heartbeat signal extraction by using pressure sensor array |
| topic | Pressure sensor array correlation coefficients heartbeat signals unconstrained heartbeat extraction correlation dimension |
| url | https://ieeexplore.ieee.org/document/8936923/ |
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