ASSESSMENT OF THE STATE OF FATIGUE BASED ON VIDEO STREAM PROCESSING

This article discusses the creation of an algorithm and program in Python for analyzing the state of fatigue using video stream processing methods. The program is based on the OpenCV and Dlib libraries for highlighting points on the subject’s face, the analysis of which allows one to draw a conclusion about the desired state of the subjects.

Authors

M.K. Samokhvalov (ORCID: https://orcid.org/0000-0001-5494-7150)
D.A. Evsevichev (ORCID: https://orcid.org/0000-0003-2234-427X)
A.V. Skok
M.V. Veretennikov
K.S. Znamenskaya

Publication Details

Published: 2024-10-21
DOI: https://doi.org/10.61527/appfe-2024.93-95
Primary Topic: Technical Engine Diagnostics and Monitoring
Type: article
Field-Weighted Citation Impact: 0.00

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article

ASSESSMENT OF THE STATE OF FATIGUE BASED ON VIDEO STREAM PROCESSING

M.K. Samokhvalov, D.A. Evsevichev, A.V. Skok, M.V. Veretennikov et al.

Oct 21, 2024

Technical Engine Diagnostics and Monitoring

article

ASSESSMENT OF THE STATE OF FATIGUE BASED ON VIDEO STREAM PROCESSING

M.K. Samokhvalov, D.A. Evsevichev, A.V. Skok, M.V. Veretennikov, K.S. Znamenskaya

October 21, 2024article en

Abstract

Openalex Percentile: Top 80%

Technical Engine Diagnostics and Monitoring

DOI Open Access PDF OpenAlex

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ASSESSMENT OF THE STATE OF FATIGUE BASED ON VIDEO STREAM PROCESSING — M.K. Samokhvalov, D.A. Evsevichev, et al. · (2024) | TGRS Research Map | TGRS