Evidence map›Paper›PMID 41994116›Full record

ArticleResearch square2026

Human-Centered Multi-Sensor Framework for Identifying Driving Patterns Associated with Cognitive Decline Through Quantitative Analysis.

Sonia Moshfeghi, Seyedeh Gol Ara Ghoreishi, Muhammad Tanveer Jan, Jinwoo Jang, Borko Furht, Kwangsoo Yang, Ruth Tappen, David Newman, Joshua Conniff, Monica Rosselli

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in Research square, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Sonia MoshfeghiCollege of Engineering & Computer Science, Florida Atlantic University, Boca Raton, 33431, FL, USA.
Seyedeh Gol Ara GhoreishiCollege of Engineering & Computer Science, Florida Atlantic University, Boca Raton, 33431, FL, USA.
Muhammad Tanveer JanCollege of Engineering & Computer Science, Florida Atlantic University, Boca Raton, 33431, FL, USA.
Jinwoo JangCollege of Engineering & Computer Science, Florida Atlantic University, Boca Raton, 33431, FL, USA.
Borko FurhtCollege of Engineering & Computer Science, Florida Atlantic University, Boca Raton, 33431, FL, USA.
Kwangsoo YangCollege of Engineering & Computer Science, Florida Atlantic University, Boca Raton, 33431, FL, USA.
Ruth TappenChristine E. Lynn College of Nursing, Florida Atlantic University, Boca Raton, 33431, FL, USA.
David NewmanChristine E. Lynn College of Nursing, Florida Atlantic University, Boca Raton, 33431, FL, USA.
Joshua ConniffCharles E. Schmidt College of Science, Florida Atlantic University, Boca Raton, 33431, FL, USA.
Monica RosselliCharles E. Schmidt College of Science, Florida Atlantic University, Boca Raton, 33431, FL, USA.

Funding

In-Vehicle Sensors to Detect Cognitive Change in Older DriversR01AG068472 · NIA · FLORIDA ATLANTIC UNIVERSITY · PI NEWMAN, DAVID, TAPPEN, RUTH M · 2020 to 2024
$5.5M
NIA NIH HHS R01 AG068472
6 · The paper itself

Abstract

Driving requires complex cognitive abilities, making it a promising behavioral domain for identifying Mild Cognitive Impairment (MCI). This paper presents a pilot proof-of-concept framework deploying AutoPi telematics units across 51 older adult drivers (10 MCI, 41 cognitively unimpaired) over a 28-month observation window, yielding 20,145 trips across GPS, IMU, and OBD-II sensor streams. A multi-stage analytical pipeline, K-Means clustering for behavioral profiling, Random Forest feature ranking, Welch's

Indexed as

Cognitive impairmentDriving behaviorQuantitative analysisTelematics systems

Identifiers

PMID41994116
PMCPMC13082145

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.