Abstract：
:This paper describes an in-vehicle nonintrusive biopotential measurement system for driver health monitoring and fatigue detection. Previous research has found that the physiological signals including eye features, electrocardiography (ECG), electroencephalography (EEG) and their secondary parameters such as heart rate and HR variability are good indicators of health state as well as driver fatigue. A conventional biopotential measurement system requires the electrodes to be in contact with human body. This not only interferes with the driver operation, but also is not feasible for long-term monitoring purpose. The driver assistance system in this paper can remotely detect the biopotential signals with no physical contact with human skin. With delicate sensor and electronic design, ECG, EEG, and eye blinking can be measured. Experiments were conducted on a high fidelity driving simulator to validate the system performance. The system was found to be able to detect the ECG/EEG signals through cloth or hair with no contact with skin. Eye blinking activities can also be detected at a distance of 10 cm. Digital signal processing algorithms were developed to decimate the signal noise and extract the physiological features. The extracted features from the vital signals were further analyzed to assess the potential criterion for alertness and drowsiness determination.
journal_name
IEEE J Biomed Health Informjournal_title
IEEE journal of biomedical and health informaticsauthors
Sun Y,Yu XBdoi
10.1109/JBHI.2014.2305403subject
Has Abstractpub_date
2014-11-01 00:00:00pages
1932-9issue
6eissn
2168-2194issn
2168-2208journal_volume
18pub_type
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journal_title：IEEE journal of biomedical and health informatics
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journal_title：IEEE journal of biomedical and health informatics
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journal_title：IEEE journal of biomedical and health informatics
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journal_title：IEEE journal of biomedical and health informatics
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journal_title：IEEE journal of biomedical and health informatics
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journal_title：IEEE journal of biomedical and health informatics
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journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
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journal_title：IEEE journal of biomedical and health informatics
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journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
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journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2018.2817368
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journal_title：IEEE journal of biomedical and health informatics
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journal_title：IEEE journal of biomedical and health informatics
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journal_title：IEEE journal of biomedical and health informatics
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journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
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