Knowledge transfer-driven estimation of knee moments and ground reaction forces from smartphone videos via temporal-spatial modeling of augmented joint kinematics.

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Title: Knowledge transfer-driven estimation of knee moments and ground reaction forces from smartphone videos via temporal-spatial modeling of augmented joint kinematics.
Authors: Hossain, Md Sanzid Bin1,2 (AUTHOR), Choi, Hwan3 (AUTHOR) hwan.choi@ucf.edu, Guo, Zhishan4 (AUTHOR), Yoo, Sunyong5 (AUTHOR), Song, Min-Keun6 (AUTHOR), Shin, Hyunjun7 (AUTHOR), Hadley, Dexter1 (AUTHOR)
Source: PLoS ONE. 11/7/2025, Vol. 20 Issue 11, p1-22. 22p.
Database: Academic Search Ultimate
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An: 189190514
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  Data: Knowledge transfer-driven estimation of knee moments and ground reaction forces from smartphone videos via temporal-spatial modeling of augmented joint kinematics.
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  Data: <searchLink fieldCode="JN" term="%22PLoS+ONE%22">PLoS ONE</searchLink>. 11/7/2025, Vol. 20 Issue 11, p1-22. 22p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=189190514
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        Value: 10.1371/journal.pone.0335257
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      – TitleFull: Knowledge transfer-driven estimation of knee moments and ground reaction forces from smartphone videos via temporal-spatial modeling of augmented joint kinematics.
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              Text: 11/7/2025
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