Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 201

The DOI matches its Crossref record.

Development of drowsiness detection system

Ueno, H., Kaneda, M., Tsukino, M.·2002·Proceedings of VNIS'94 - 1994 Vehicle Navigation and Information Systems Conference
DOI 10.1109/vnis.1994.396873
Open this paper in CoChat — free account

Abstract

The development of technologies for preventing drowsiness at the wheel is a major challenge in the field of accident avoidance systems. Preventing drowsiness during driving requires a method for accurately detecting a decline in driver alertness and a method for alerting and refreshing the driver. As a detection method, the authors have developed a system that uses image processing technology to analyze images of the driver's face taken with a video camera. Diminished alertness is detected on the basis of the degree to which the driver's eyes are open or closed. This detection system provides a noncontact technique for judging various levels of driver alertness and facilitates early detection of a decline in alertness during driving.>

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1109/vnis.1994.396873

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 201

Metadata

Authors
Ueno, H., Kaneda, M., & Tsukino, M.
Venue
Proceedings of VNIS'94 - 1994 Vehicle Navigation and Information Systems Conference
Publisher
IEEE
Published
2002-12-17
Pages
15-20
DOI
10.1109/vnis.1994.396873
OpenAlex
W2546699185
Cited by
201
References
0
FWCI
12.06
Type
conference paper
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Development of drowsiness detection system. https://app.cochat.ai/papers/10.1109/vnis.1994.396873
The paper
Ueno, H., Kaneda, M., & Tsukino, M. (2002). Development of drowsiness detection system. Proceedings of VNIS'94 - 1994 Vehicle Navigation and Information Systems Conference. https://doi.org/10.1109/vnis.1994.396873

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.