Drowsiness prediction system for vehicle using capacity coupled electrode type non-invasive ECG measurement
| Autor: | Hideki Hashimoto, Mitsuo Yasushi, Takaya Sano, Naotaka Takezawa, Suguru Miyamoto, Koki Kurosawa |
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| Rok vydání: | 2017 |
| Předmět: |
Computer science
Human error Non invasive Driving simulator 02 engineering and technology Prediction system 03 medical and health sciences 0302 clinical medicine 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing ECG Measurement Inattentive Driving 030217 neurology & neurosurgery Simulation |
| Zdroj: | SII |
| DOI: | 10.1109/sii.2017.8279230 |
| Popis: | It is known that most traffic accidents are due to human error, such as inattentive driving and drowsiness. This research develops a method for predicting driver's drowsiness. In order to measure the heart rate of driver non-invasively, we used capacity coupled electrodes and proposed a method to predicting drowsiness based on variations in the heart rate. This paper describes a structure and a principle of the system and experiments. The experiment conducted by using a driving simulator. The proposed system achieves detecting drowsiness of driver before a critical situation occurs. |
| Databáze: | OpenAIRE |
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