Anushka Limaye
Biomedical engineering
Hometown: Gilbert, Arizona, United States
Graduation date: Spring 2025
Additional details: Honors student
GCSP research stipend | Spring 2024
Using Machine Learning on Naturalistic Driving Data to Predict Mild Cognitive Impairment
The objective of the study is to find out if a relationship exists between naturalistic driving patterns and Mild Cognitive Impairment (MCI) and how these findings can aid diagnosis and risk assessment of Alzheimer’s Disease. If successful, this project will identify biometric and driving signatures associated with MCI diagnosis. This is helpful for providing the medical care to take timely steps to delay the progression of the disease. In the future, advancements in technology will enable further driving studies to extract additional features, expanding the dataset for more accurate statistical analysis and machine learning modeling.
Mentor: Teresa Wu
It’s hip to be square.
Students presenting projects at the Fulton Forge Student Research Expo are encouraged to download this personal QR code and include it within your poster. This allows expo attendees to explore more about your project and about you in the future.
Right click the image to save it to your computer.