CNT-Integrated Sensing System for Driver State Detection

用于驾驶员状态检测的 CNT 集成传感系统

• 批准号: 0825864
• 负责人: Yingzi Lin
• 金额: $ 22万
• 依托单位: Northeastern University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-09-01 至 2011-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0825864&HistoricalAwards=false
• 关键词: CNT; Integrated; Sensing; System; Driver

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.

本项目旨在开发一种用于驾驶员检测的非侵入式碳纳米管集成传感系统。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、工作可靠性高。该项目将研究将基于纳米材料的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。该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S的握力和酒精含量将非侵入性地实时测量。本项目将在东北大学皮？S智能人机系统实验室的虚拟环境和真实的人-车系统中进行实验，以验证所提出的技术的有效性。与拟议的研究同时，人体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。教育计划包括各种实习生、研究生、本科生、高中生和普通公众，特别是代表不足的群体。