Features and target variables in the Quebec-Wisconsin dataset.

NIAID Data Ecosystem2026-03-12 收录

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https://figshare.com/articles/dataset/Features_and_target_variables_in_the_Quebec-Wisconsin_dataset_/14566984 数据链接链接失效反馈

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Features and target variables in the Quebec-Wisconsin dataset.

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2021-05-10

Table_2_Detecting Depression Through Gait Data: Examining the Contribution of Gait Features in Recognizing Depression.XLSX

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Supplementary Table 1 â€“ Modelling individual variation in human walking gait across populations and walking conditions via gait recognition

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Evaluation of the learned gait patterns against ground truth measurements in the Stanford University dataset.

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Evaluation of the learned gait patterns against ground truth measurements in the Stanford University dataset.

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CCR [%] of the B-2D-PCA-R MSM and the MSM-based method with divided areas [12] (numbers in round brackets) in the cross-speed walking gait recognition.

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CCR [%] of the B-2D-PCA-R MSM and the MSM-based method with divided areas [12] (numbers in round brackets) in the cross-speed walking gait recognition.

Figshare2021-08-11 更新40

Features and target variables in the Quebec-Wisconsin dataset.

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