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In-Vehicle Sensors Help Detect Cognitive Changes in Older Adults
An estimated 4 to 8 million older adults with mild cognitive impairment currently drive in the United States. Despite projections that one-third of these drivers will develop dementia within five years, a significant number remain unaware of their cognitive decline.
Researchers in neuropsychology, engineering, and the Christine E. Lynn College of Nursing are testing an in-vehicle sensing system that offers the potential for widespread, low-cost early warnings of cognitive decline among older drivers. Developed in the College of Engineering and Computer Science, the sensor network uses open-source hardware and software components to reduce the time, risks and costs associated with developing in-vehicle units.
The sensor’s main purpose is to detect driving inconsistencies, such as getting lost, ignoring traffic signals, near-collisions, distraction, drowsiness, reaction times, and travel patterns. During the three-year study, a driver facing camera, forward facing camera, and telematics unit will be installed in each participant’s vehicle. Every three months, data will be collected and analyzed to help generate early warnings. Funded by the National Institute on Aging, the study aims to revolutionize early detection of cognitive decline in older drivers.
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