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Variation in acceleration driving patterns as a measure of older adult health status.

, , , , , and . MeMeA, page 298-302. IEEE, (2017)

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Variation in acceleration driving patterns as a measure of older adult health status., , , , , and . MeMeA, page 298-302. IEEE, (2017)Driver identification using vehicle acceleration and deceleration events from naturalistic driving of older drivers., , , , , , and . MeMeA, page 33-38. IEEE, (2017)Experimental Studies of Virtual Reality-Delivered Compared to Conventional Exercise Programs for Rehabilitation., , , , , , , and . Cyberpsy., Behavior, and Soc. Networking, 6 (3): 245-249 (2003)Trip-Based Measures of Naturalistic Driving: Considerations and Connections With Cognitive Status in Older Adult Drivers., , , , , and . IEEE Trans. Instrum. Meas., 68 (7): 2451-2459 (2019)Assessing Driver Gaze Location in a Dynamic Vehicle Environment., , , , , , , and . I2MTC, page 1-6. IEEE, (2023)Measuring variation in driving habits between drivers., , , , and . MeMeA, page 29-34. IEEE, (2014)Big Data Analysis of Canadian Drivers Using OBDII Sensor Data: The Impact of the Pandemic., , , , , , , and . SAS, page 1-5. IEEE, (2023)Assessing Driver Task Engagement Through Machine Learning Classification of Physiological Response., , , , , , , , and . SAS, page 1-6. IEEE, (2023)The Validity of Three New Driving Simulator Scenarios: Detecting Differences in Driving Performance by Difficulty and Driver Gender and Age., , , , and . Hum. Factors, (2021)Age-Friendly Protocol to Support Investigations of Autonomous Driving Disengagement on Driver Safety., , , , , , , , and . HCI (40), volume 1583 of Communications in Computer and Information Science, page 147-154. Springer, (2022)