Publicação
Contactless biometric sensor for automotive applications
| Resumo: | Accidents on the road are the biggest unexpected causes of death in the world. Because of this, the prevention of the fatalities is an important target of study and investigation for most of car manufacturers. In 2014 there were 1.25 million deaths on the road worldwide, with 20% of crashes and 12% of near-crashes being caused by drowsy drivers. This dissertation aims to develop a monitoring solution in the automotive world, to measure the heartbeat of the driver, for a future interpretation of your physiological state. Heart rate monitoring from a distance is a powerful tool for health care, when compared to alternative techniques for long-term medical monitoring, that require direct contact with the patient such as: electrodes, oximeter and piezoelectric sensors. Since the heart rate changes along the different stages of drowsiness/fatigue, it is possible to evaluate the drowsy state of the driver using Heart Rate Variability (HRV), by measuring values along the frequency spectrum of the heartbeat. After the analysis of the existing non-contact methods to measure heartbeat, this dissertation will focus on the use of a technology based on radar that includes the versatile ability to function at a distance through the driver´s clothing. The radar that will be integrate on the driver´s seat uses radio waves to detect the heart´s acceleration and the drivers breathing movement. These data can be complemented with other technologies such EEG (Electroencephalography) and eye tracker (monitoring of head and eye movements) to detected the drowsiness state with more reliability [1][2]. Since the signals may contain noise, harmonics and other vehicle induced issues, data filtering will be required [3]. This master thesis will be developed at University of Minho, within the partnership project "INNOVCAR: The Cockpit of the future", with Bosch Car Multimedia. The concept solution must be efficient, comfortable to the user, reliable and have a low cost. The monitoring of the vital signs of the human body can then be used to ultimately avoid accidents and deaths on the road. Through this concept, it will be possible to trigger responses like activating an alarm, stopping the car, or even calling emergency assistance if needed. |
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| Autores principais: | Salgado, Áurea Filipa da Cunha |
| Assunto: | Automotive HMI Biometric sensor Drowsiness Heartbeat HMI automóvel Sensores biométricos Sonolência Batimento cardíaco |
| Ano: | 2017 |
| País: | Portugal |
| Tipo de documento: | dissertação de mestrado |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade do Minho |
| Idioma: | inglês |
| Origem: | RepositóriUM - Universidade do Minho |
| Resumo: | Accidents on the road are the biggest unexpected causes of death in the world. Because of this, the prevention of the fatalities is an important target of study and investigation for most of car manufacturers. In 2014 there were 1.25 million deaths on the road worldwide, with 20% of crashes and 12% of near-crashes being caused by drowsy drivers. This dissertation aims to develop a monitoring solution in the automotive world, to measure the heartbeat of the driver, for a future interpretation of your physiological state. Heart rate monitoring from a distance is a powerful tool for health care, when compared to alternative techniques for long-term medical monitoring, that require direct contact with the patient such as: electrodes, oximeter and piezoelectric sensors. Since the heart rate changes along the different stages of drowsiness/fatigue, it is possible to evaluate the drowsy state of the driver using Heart Rate Variability (HRV), by measuring values along the frequency spectrum of the heartbeat. After the analysis of the existing non-contact methods to measure heartbeat, this dissertation will focus on the use of a technology based on radar that includes the versatile ability to function at a distance through the driver´s clothing. The radar that will be integrate on the driver´s seat uses radio waves to detect the heart´s acceleration and the drivers breathing movement. These data can be complemented with other technologies such EEG (Electroencephalography) and eye tracker (monitoring of head and eye movements) to detected the drowsiness state with more reliability [1][2]. Since the signals may contain noise, harmonics and other vehicle induced issues, data filtering will be required [3]. This master thesis will be developed at University of Minho, within the partnership project "INNOVCAR: The Cockpit of the future", with Bosch Car Multimedia. The concept solution must be efficient, comfortable to the user, reliable and have a low cost. The monitoring of the vital signs of the human body can then be used to ultimately avoid accidents and deaths on the road. Through this concept, it will be possible to trigger responses like activating an alarm, stopping the car, or even calling emergency assistance if needed. |
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