Multi-modal signals acquisition device.

<div><p>The precise recognition of human lower limb movements based on wearable sensors is very important for human-computer interaction. However, the existing methods tend to ignore the dynamic spatial information in the process of executing human lower limb movements, leading to challe...

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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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Multi-modal signals acquisition device.

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