ANGELS - Smart Steering Wheel for Driver Safety

被引:2
|
作者
Amidei, Andrea [1 ]
Rapa, Pierangelo Maria [2 ]
Tagliavini, Giuseppe [2 ]
Rabbeni, Roberto [3 ]
Pavan, Paolo [1 ]
Benatti, Simone [1 ]
机构
[1] Univ Modena & Reggio Emilia, Modena, Italy
[2] Univ Bologna, Bologna, Italy
[3] Maserati, Modena, Italy
关键词
Driver monitoring; Photoplethysmography; driver's physiological signals; embedded system; peaks detection;
D O I
10.1109/IWASI58316.2023.10164505
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The automotive industry increasingly recognizes the importance of human-machine interaction in enhancing the driving experience and improving driver safety. Human factors, such as drowsiness and attention deficits, play a primary role in safe driving. There are several research and commercial solutions to address these issues. However, they analyze vehicle behavior and are unable to assess the driver's state in a timely manner. A novel approach to this problem is to monitor the driver's physiological signals. In this context, Photoplethysmography (PPG) is a noninvasive technique that monitors cardiac activity and can provide information regarding the driver's state. This work introduces ANGELS, an embedded system that exploits PPG signals to monitor drivers in a non-invasive way. ANGELS is a low-cost and low-power system that can be integrated into the steering wheel of a car. It acquires and processes the driver's PPG signals in real-time and enables heart rate monitoring without requiring accelerometer data to remove motion artifacts. We perform an experimental assessment using the Maserati driving simulator. ANGELS features a mean absolute error on heart rate detection of 1.19 BPM with a latency of 10 s and power consumption of only 130 mW. These results demonstrate that it is a reliable and promising solution for improving driver safety.
引用
收藏
页码:15 / 20
页数:6
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