A physiological data‐driven model for learners' cognitive load detection using HRV‐PRV feature fusion and optimized XGBoost classification.

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Title: A physiological data‐driven model for learners' cognitive load detection using HRV‐PRV feature fusion and optimized XGBoost classification.
Authors: Guo, Junqi1, Dai, Yazhu1, Wang, Chixiang1, Wu, Hao1, wuhao_bnu@163.com, Xu, Tianyou1, Lin, Kai2
Source: Software: Practice & Experience; Nov2020, Vol. 50 Issue 11, p2046-2064, 19p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 146250993
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PubType: Academic Journal
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=146250993
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        Value: 10.1002/spe.2730
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      – Code: eng
        Text: English
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        PageCount: 19
        StartPage: 2046
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      – TitleFull: A physiological data‐driven model for learners' cognitive load detection using HRV‐PRV feature fusion and optimized XGBoost classification.
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            NameFull: Wu, Hao
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            – D: 01
              M: 11
              Text: Nov2020
              Type: published
              Y: 2020
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