Project: #47 Non-Intrusive Driver Distraction Monitoring Using Vehicle Vibration Sensing Progress Report - Reporting Period Ending: March 31, 2018 Principal Investigator: Hae Young Noh Status: Completed Start Date: Jan. 1, 2017 End Date: Aug. 31, 2018 Research Type: Advanced Grant Type: Research Grant Program: MAP-21 TSET National (2013 - 2018) Grant Cycle: 2017 TSET UTC Progress Report (Last Updated: March 31, 2018, 7:10 p.m.) % Project Completed to Date: 80 % Grant Award Expended: 80 % Match Expended & Document: 80 USDOT Requirements Accomplishments 1. Two PhD students (both female) have been supported by this funding. 2. The technology was demoed at the 2017 Cyber-Physical Systems Week held in Pittsburgh 3. A demo abstract is published at the 2017 Cyber-Physical Systems Week 4. The technology has been pitched to companies, such as Intel, Google to promote industry collaborations and potential commercialization. 5. The work is presented through multiple invited seminars at Stanford, CalTech, Princeton, Georgia Tech, Univ. of Houston, etc. to promote collaboration and expansion of the work. 6. The developed hardware has been used as a data acquisition platform in graduate level project courses at CMU to promote student interest in safe transportation systems. 7. We published a paper at the Nineteenth Workshop on Mobile Computing Systems and Applications (ACM HotMobile 2018) - acceptance rate 29%. 8. We achieved non-intrusive measurement of heart rate variability (HRV) of a driver (different age, gender, height, weight) through vibration sensing of the car seat and seatbelt. The mean error was 0.05 sec. This result was presented at the 2018 HotMobile workshop and demo-ed at the 2017 Cyber-Physical Systems Week. Impacts Continuous heart rate and heart rate variability monitoring in cars can allow for continuous health monitoring of a driver (both physical and mental) which is critical for safe driving. Heart rate variability monitoring can be used to help track stress and fatigue, which are driver safety issues. Stressful life events have a significant effect on traffic accidents. Studies show that the impact of stress on professional driver performance and concluded that it is a direct risk factor for driver accidents. Drowsy driving is also risky. According to the National Highway Traffic Safety Administration (NHTSA), about 56,000 crashes are caused by drowsy drivers each year in the United States of America, which results in about 1,550 fatalities and 40,000 nonfatal injuries annually. Continuous heart monitoring of drivers in various driving scenarios allow timely detection and prediction of critical driver states related to their safety and potentially reduce accidents by providing proper guidance to the driver (e.g., alarm, haptic feedback, climate control, etc.) Other N/A Outcomes New Partners N/A Issues The remaining challenges to be addressed in the rest of the project period include validating the system performance under various driving scenarios, including different speed, terrain conditions, etc.