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Two-step deep-learning identification of heel keypoints from video-recorded gait.

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Bibliographic Details
Title: Two-step deep-learning identification of heel keypoints from video-recorded gait.
Authors: Halvorsen, Kjartan1, khr@du.se, Peng, Wei2, Olsson, Fredrik3, Åberg, Anna Cristina1,2
Source: Medical & Biological Engineering & Computing; Jan2025, Vol. 63 Issue 1, p229-237, 9p
Database: Applied Science & Technology Source
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  Data: Two-step deep-learning identification of heel keypoints from video-recorded gait.
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  Data: <searchLink fieldCode="JN" term="%22Medical+%26+Biological+Engineering+%26+Computing%22">Medical & Biological Engineering & Computing</searchLink>; Jan2025, Vol. 63 Issue 1, p229-237, 9p
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      – Type: doi
        Value: 10.1007/s11517-024-03189-7
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      – Code: eng
        Text: English
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        StartPage: 229
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      – TitleFull: Two-step deep-learning identification of heel keypoints from video-recorded gait.
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            NameFull: Peng, Wei
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            NameFull: Olsson, Fredrik
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              Text: Jan2025
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              Y: 2025
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