María Garrosa , Marco Ceccarelli , Susana Sanz Sánchez , Matteo Russo
{"title":"一种低成本车辆驾驶员监控装置的设计与验证","authors":"María Garrosa , Marco Ceccarelli , Susana Sanz Sánchez , Matteo Russo","doi":"10.1016/j.ymssp.2025.112939","DOIUrl":null,"url":null,"abstract":"<div><div>This paper presents the design and experimental validation of a novel low-cost, wearable device for continuous monitoring of the motion and physiological state of vehicle drivers. The system strategically integrates Inertial Measurement Units (IMUs) on the driver’s head, neck, and torso to accurately capture body dynamics while driving. It also incorporates physiological sensors to capture electrocardiography (ECG) and body temperature signals, providing objective indicators of the driver’s physical and emotional state. The device’s architecture enables real-time data processing, which is essential for early detection of risky behaviors such as distracted or aggressive driving. Validation of the device was conducted through an experimental protocol in a controlled urban driving environment, evaluating common maneuvers such as straight-line driving, braking, roundabouts, and lane changes. The results obtained demonstrate the feasibility of the device to characterize significant changes in posture and physiological parameters, demonstrating its potential application as a low-cost tool for driver monitoring in Advanced Driver Assistance Systems (ADAS), accident prevention campaigns, and epidemiological studies of driving behavior.</div></div>","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"235 ","pages":"Article 112939"},"PeriodicalIF":7.9000,"publicationDate":"2025-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Design and validation of a low-cost vehicle driver monitoring device\",\"authors\":\"María Garrosa , Marco Ceccarelli , Susana Sanz Sánchez , Matteo Russo\",\"doi\":\"10.1016/j.ymssp.2025.112939\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This paper presents the design and experimental validation of a novel low-cost, wearable device for continuous monitoring of the motion and physiological state of vehicle drivers. The system strategically integrates Inertial Measurement Units (IMUs) on the driver’s head, neck, and torso to accurately capture body dynamics while driving. It also incorporates physiological sensors to capture electrocardiography (ECG) and body temperature signals, providing objective indicators of the driver’s physical and emotional state. The device’s architecture enables real-time data processing, which is essential for early detection of risky behaviors such as distracted or aggressive driving. Validation of the device was conducted through an experimental protocol in a controlled urban driving environment, evaluating common maneuvers such as straight-line driving, braking, roundabouts, and lane changes. The results obtained demonstrate the feasibility of the device to characterize significant changes in posture and physiological parameters, demonstrating its potential application as a low-cost tool for driver monitoring in Advanced Driver Assistance Systems (ADAS), accident prevention campaigns, and epidemiological studies of driving behavior.</div></div>\",\"PeriodicalId\":51124,\"journal\":{\"name\":\"Mechanical Systems and Signal Processing\",\"volume\":\"235 \",\"pages\":\"Article 112939\"},\"PeriodicalIF\":7.9000,\"publicationDate\":\"2025-06-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Mechanical Systems and Signal Processing\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0888327025006405\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, MECHANICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mechanical Systems and Signal Processing","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0888327025006405","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MECHANICAL","Score":null,"Total":0}
Design and validation of a low-cost vehicle driver monitoring device
This paper presents the design and experimental validation of a novel low-cost, wearable device for continuous monitoring of the motion and physiological state of vehicle drivers. The system strategically integrates Inertial Measurement Units (IMUs) on the driver’s head, neck, and torso to accurately capture body dynamics while driving. It also incorporates physiological sensors to capture electrocardiography (ECG) and body temperature signals, providing objective indicators of the driver’s physical and emotional state. The device’s architecture enables real-time data processing, which is essential for early detection of risky behaviors such as distracted or aggressive driving. Validation of the device was conducted through an experimental protocol in a controlled urban driving environment, evaluating common maneuvers such as straight-line driving, braking, roundabouts, and lane changes. The results obtained demonstrate the feasibility of the device to characterize significant changes in posture and physiological parameters, demonstrating its potential application as a low-cost tool for driver monitoring in Advanced Driver Assistance Systems (ADAS), accident prevention campaigns, and epidemiological studies of driving behavior.
期刊介绍:
Journal Name: Mechanical Systems and Signal Processing (MSSP)
Interdisciplinary Focus:
Mechanical, Aerospace, and Civil Engineering
Purpose:Reporting scientific advancements of the highest quality
Arising from new techniques in sensing, instrumentation, signal processing, modelling, and control of dynamic systems