Supplementary Table 3 – Modelling individual variation in human walking gait across populations and walking conditions via gait recognition
收藏The Royal Society Figshare2024-11-26 更新2026-04-17 收录
下载链接：
https://rs.figshare.com/articles/dataset/Supplementary_Table_3_Modelling_individual_variation_in_human_walking_gait_across_populations_and_walking_conditions_via_gait_recognition/27909055/1
下载链接
链接失效反馈官方服务：
资源简介：
Additional details of the convolutional transformer neural network architectures applied for gait recognition. N = number of samples. Transformer encoder layer hyper-parameter settings: d_model = number of input features (varied), nhead = 4, activation = 'gelu', and dim_feedforward = number of output features (varied).
提供机构：
Horst, Fabian; Hanly, Gary; Thewlis, Dominic; Robertson, Will; Duncanson, Kayne Andrew; Abbasnejad, Ehsan
创建时间：
2024-11-26
