Non-Contact Assessment of a Driver's Vital Signs - Driving Awareness

非接触式评估驾驶员生命体征 - 驾驶意识

• 批准号: RGPIN-2022-04944
• 负责人: Wallace, Raymond
• 金额: $ 2.11万
• 依托单位: Carleton University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=765876
• 关键词: Non; Contact; Assessment; Driver; Vital

Fully functional, affordable, and mass purchased Autonomous Vehicles (AV) will take many years. Current semi-autonomous vehicles (SA) that require drivers to supervise and immediately take over in situations the SA vehicle can't handle will be used extensively. Drivers supervising the SA system must maintain situational awareness of the road and vehicle. There are limited ways to monitor for a driver's attention levels to take over, if needed. One application for such a system is to monitor inattentive drivers including distracted driving or the use of intoxicants and there is also aging drivers who may be declining in driving competencies because of aging or illness. This program will research techniques for assessing driver vital signs using ambient sensing techniques that could be integrated into ordinary vehicle functionality. It will combine and expand research by the applicant into the connection between drivers' health and driving behaviours with work on novel applications of ambient sensors for the assessment of well-being. Ambient assessment through non-contact video magnification of visible light and thermal video will be explored to assess heart and respiration rate. The ambient sensing of blood pressure remains a significant challenge, though heart rate from two distinct body locations allows Pulse Transit Time (PTT) to be determined. Changes in PTT correlate with changes in relative blood pressure. Hands and head provide two potential locations for assessment of heart rate as blood pressure change can indicate stress, anxiety or drowsiness. Analysis of attention can prospectively be conducted through driver-facing thermal and visible light video that combines head tracking, eye tracking and eye lid analysis. In the program, a wide range of indicators will be integrated using data fusion techniques to obtain measures of driver attentiveness as well as general capability to take control of the vehicle. A key focus is analysis techniques that are robust to in-vehicle conditions, requiring the creation of algorithms solutions for variations in ambient light level, motion, camera location, and ambient temperature. The applicant's background in complex algorithms and analytics will help address this complex set of problems, including numerous publications capturing insights from a large geriatric driving dataset. From his leadership position within the SAM3 Innovation Hub, the applicant has working relationships with an international clinical research community, developing remote sensor applications to detect and measure well-being. The applicant is currently working with driving simulators, which allow for research experimentation, validation and testing scenarios in controlled conditions while also ensuring safety. In addition, the applicant has access to the Ottawa Area X.0 Autonomous Vehicle Test track, a unique, highly-instrumented facility for testing using actual vehicles, including AV and SA vehicle driving applications.

功能齐全、价格合理、大规模购买的自动驾驶汽车（AV）将需要多年时间。目前的半自动驾驶汽车（SA）需要司机监督，并在SA车辆无法处理的情况下立即接管，这将被广泛使用。监督SA系统的驾驶员必须保持对道路和车辆的态势感知。如果需要的话，监控驾驶员注意力水平的方法有限。这种系统的一个应用是监控疏忽的驾驶员，包括分心驾驶或使用麻醉剂，并且还存在由于年龄或疾病而可能在驾驶能力方面下降的老年驾驶员。 该计划将研究使用环境传感技术评估驾驶员生命体征的技术，这些技术可以集成到普通车辆功能中。它将联合收割机结合和扩大申请人对驾驶员健康与驾驶行为之间联系的研究，并致力于环境传感器在评估福祉方面的新应用。 将探索通过可见光和热视频的非接触视频放大进行环境评估，以评估心率和呼吸率。血压的环境感测仍然是一个重大挑战，尽管来自两个不同身体位置的心率允许确定脉搏传导时间（PTT）。PTT的变化与相对血压的变化相关。手和头提供了两个用于评估心率的潜在位置，因为血压变化可以指示压力、焦虑或困倦。注意力的分析可以通过面向驾驶员的热和可见光视频进行前瞻性地进行，该视频结合了头部跟踪、眼睛跟踪和眼睑分析。在该计划中，将使用数据融合技术集成各种指标，以获得驾驶员注意力以及控制车辆的一般能力的措施。一个关键的焦点是分析技术，是强大的车载条件，需要创建算法解决方案的变化，环境光水平，运动，相机位置和环境温度。 申请人在复杂算法和分析方面的背景将有助于解决这一系列复杂的问题，包括从大型老年人驾驶数据集中获取见解的众多出版物。从他在SAM 3创新中心的领导地位，申请人与国际临床研究社区的工作关系，开发遥感器应用程序，以检测和测量福祉。申请人目前正在使用驾驶模拟器，允许在受控条件下进行研究实验，验证和测试场景，同时确保安全性。此外，申请人还可以使用渥太华区域X.0自动驾驶汽车测试赛道，这是一个独特的、高度仪表化的设施，用于使用实际车辆进行测试，包括AV和SA车辆驾驶应用。