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Variation in acceleration driving patterns as a measure of older adult health status., , , , , и . MeMeA, стр. 298-302. IEEE, (2017)Driver identification using vehicle acceleration and deceleration events from naturalistic driving of older drivers., , , , , , и . MeMeA, стр. 33-38. IEEE, (2017)Big Data Analysis of Canadian Drivers Using OBDII Sensor Data: The Impact of the Pandemic., , , , , , , и . SAS, стр. 1-5. IEEE, (2023)Assessing Driver Task Engagement Through Machine Learning Classification of Physiological Response., , , , , , , , и . SAS, стр. 1-6. IEEE, (2023)Assessing Driver Gaze Location in a Dynamic Vehicle Environment., , , , , , , и . I2MTC, стр. 1-6. IEEE, (2023)Experimental Studies of Virtual Reality-Delivered Compared to Conventional Exercise Programs for Rehabilitation., , , , , , , и . Cyberpsy., Behavior, and Soc. Networking, 6 (3): 245-249 (2003)Measuring variation in driving habits between drivers., , , , и . MeMeA, стр. 29-34. IEEE, (2014)Metrics in a Dynamic Gaze Environment., , , , , , , , и . MeMeA, стр. 1-6. IEEE, (2024)Assessing Driving Risk Indicators from Large Driving Data Sets., , , , , , , , и . MeMeA, стр. 1-6. IEEE, (2024)Age-Friendly Protocol to Support Investigations of Autonomous Driving Disengagement on Driver Safety., , , , , , , , и . HCI (40), том 1583 из Communications in Computer and Information Science, стр. 147-154. Springer, (2022)