Performance comparison of TCNN-MGCHN with TCNN-MGCHN w/o TCM and TCNN-MGCHN w/o MGCM.

<p>(a) The improved accuracy (IA). (b) The reduced loss (RL) value.</p>

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Bibliographic Details
Main Author:	Fo Hu (22394685) (author)
Other Authors:	Qinxu Zheng (22394688) (author), Xuanjie Ye (17746134) (author), Zukang Qiao (22394691) (author), Junlong Xiong (12701535) (author), Hongsheng Chang (22394694) (author)
Published:	2025
Subjects:	Sociology Space Science Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Information Systems not elsewhere classified reduced decoding accuracy predicted gait movements mine meaningful spatial inertial measurement unit highly discriminative power dynamic spatial information different skeleton nodes body partitioning strategy based skeleton graph temporal feature representations existing methods tend scale convolutional sub temporal convolutional module temporal features mainstream methods xlink "> results demonstrate related deep precise recognition limited robustness fused spatio extensive comparison computer interaction classification module attention sub ablation studies
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