The study investigates the use of in-vehicle sensing and data analysis to detect early signs of cognitive impairment in older drivers. The researchers designed low-cost sensing hardware to collect high-precision positioning and telematics data. The data were analyzed using machine learning to identify changes in cognition. The study found that drivers with mild cognitive impairment (MCI) exhibit smoother and safer driving patterns, suggesting they are aware of their condition and avoid erratic driving behaviors. The most influential factors identified were the number of night trips, number of trips, and education level.
Publication date: 17 Nov 2023
Project Page: Not provided
Paper: https://arxiv.org/pdf/2311.09273
