CNT-Integrated Sensing System for Driver State Detection

本课题旨在开发一种非侵入式碳纳米管集成传感系统，用于驾驶员检测。该传感系统的主要要求是灵敏度高、响应速度快、功耗低、成本低、运行可靠性高。该项目将研究基于纳米材料的传感器在动态人机交互中应用于人体生理传感的基本科学问题。案例研究将针对一个重要的应用：驾驶员-车辆系统。尤其是司机？握力和酒精含量水平将以非侵入性和实时的方式进行测量。该项目将在虚拟环境和现实驾驶-车辆系统中进行实验，以验证所提出的技术，这些技术可在PI？东北大学智能人机系统实验室。与此同时，人类生理学传感技术的新发展和知识将被添加到校园人为因素课程培训计划领域。教育计划包括各种各样的实习生，研究生，本科生，高中生和普通大众，特别是代表性不足的群体。

This project is to develop a nonintrusive carbon nanotube integrated sensing system for driver detection. The main requirements of this sensing system are high sensitivity, fast response, low power consumption, low cost, and high reliability in operation. This project will investigate fundamental scientific problems associated with applying nanomaterials based sensors to human physiological sensing in dynamic human-machine interactions. The case study will be carried out to target one important application: the driver-vehicle systems. In particular, driver?s gripping force and level of alcohol content will be measured non-intrusively and in real-time manner. This project will conduct experiments to validate the proposed technologies in both a virtual environment and a realistic driver-vehicle system, which are available in the PI?s Intelligent Human-Machine Systems Laboratory at Northeastern University. In parallel with the proposed research, novel developments and knowledge in sensing technologies for human physiology will be added to the area of human factors curriculum training program on campus. The education plan includes a variety of trainees, graduate, undergraduate, high school students, and the general public, including specially the under-represented groups.