CNT-Integrated Sensing System for Driver State Detection

本计画旨在发展一种非侵入式奈米碳管整合感测系统，以应用于驾驶人侦测。 这种传感系统的主要要求是高灵敏度、快速响应、低功耗、低成本和高可靠性。该项目将研究与将纳米材料传感器应用于动态人机交互中的人体生理传感相关的基本科学问题。案例研究将针对一个重要的应用：驾驶员-车辆系统。特别是司机？的握力和酒精含量的水平将被非侵入性地和实时地测量。该项目将进行实验，以验证所提出的技术在虚拟环境和现实的驾驶员车辆系统，这是在PI？美国东北大学的智能人机系统实验室。与拟议的研究同时，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。教育计划包括各种受训人员、研究生、大学生、高中生和一般公众，特别包括代表性不足的群体。

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.