activity
20222026
most citedDriver Maneuver Detection and Analysis using Time Series Segmentation and Classification

1 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG2026

A Neurosymbolic Approach for Explainable Early Diagnosis of Alzheimer's Disease

Ranveer Singh, Pranuthi Tenali, Saurabh Mathur +6

Identifying reliable Alzheimer's disease (AD) markers typically requires manual, labor-intensive transcription and expert analysis, limiting its scale. We introduce an automated pi…

cs.CV2025★ 1 cited

Driving as a Diagnostic Tool: Scenario-based Cognitive Assessment in Older Drivers from Driving Video

Md Zahid Hasan, Guillermo Basulto-Elias, Jun Ha Chang +4

We introduce scenario-based cognitive status identification in older drivers from naturalistic driving videos, leveraging large vision models. In recent times, cognitive decline in…

cs.LG2025

Predicting Mild Cognitive Impairment Using Naturalistic Driving and Trip Destination Modeling

Souradeep Chattopadhyay, Guillermo Basulto-Elias, Jun Ha Chang +4

Understanding the relationship between mild cognitive impairment (MCI) and driving behavior is essential for enhancing road safety, particularly among older adults. This study intr…

stat.AP2023

Investigating Speed Deviation Patterns During Glucose Episodes: A Quantile Regression Approach

Aparna Joshi, Jennifer Merickel, Cyrus V. Desouza +3

Given the growing prevalence of diabetes, there has been significant interest in determining how diabetes affects instrumental daily functions, like driving. Complication of glucos…

cs.CV2022★ 1 cited

Driver Maneuver Detection and Analysis using Time Series Segmentation and Classification

Armstrong Aboah, Yaw Adu-Gyamfi, Senem Velipasalar Gursoy +3

The current paper implements a methodology for automatically detecting vehicle maneuvers from vehicle telemetry data under naturalistic driving settings. Previous approaches have t…