Enhancing Driver Fatigue Monitoring: A Hybrid Human–Machine Intelligence Framework with Adaptive Real-time Feedback Article Swipe

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Tianjun Zhu , Zhengfei Zhu , Jianguo Liang , Pengcong Xian , Zhuang Ouyang , Bin Li ·

YOU? · · 2025 · Open Access · · DOI: https://doi.org/10.18494/sam5670

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Computer Science

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Computer science Real-time computing Human–machine system Artificial intelligence

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Type: article
Language: en
Landing Page: https://doi.org/10.18494/sam5670
PDF: https://sensors.myu-group.co.jp/sm_pdf/SM4120.pdf
OA Status: gold
Cited By: 1
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DOI: https://doi.org/10.18494/sam5670

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Title: Enhancing Driver Fatigue Monitoring: A Hybrid Human–Machine Intelligence Framework with Adaptive Real-time Feedback

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Type: article

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Language: en

Primary language
Publication year: 2025

Year of publication
Publication date: 2025-07-30

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Authors: Tianjun Zhu, Zhengfei Zhu, Jianguo Liang, Pengcong Xian, Zhuang Ouyang, Bin Li

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Landing page: https://doi.org/10.18494/sam5670

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PDF URL: https://sensors.myu-group.co.jp/sm_pdf/SM4120.pdf

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Open access: Yes

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OA status: gold

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OA URL: https://sensors.myu-group.co.jp/sm_pdf/SM4120.pdf

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Concepts: Computer science, Real-time computing, Human–machine system, Artificial intelligence

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Cited by: 1

Total citation count in OpenAlex
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Per-year citation counts (last 5 years)
Related works (count): 10

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