Locomotion Mode Recognition Based on Inception-Enhanced Vision Transformer Method With Kolmogorov-Arnold Network Fusion

Locomotion mode recognition plays a crucial role in enhancing the control and adaptability of lower limb exoskeletons. This paper proposes a novel Inception-ViT hybrid model for Locomotion mode recognition based on hip, knee, and ankle joint angle data collected from six IMU sensors. The study focus...

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Autori principali:	Jianbin Zheng, Xinyu Zhou, Yang Gao, Ziyao Chen, Yifan Gao, Chuyi Zhou, Yizhuo Zhang
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	IEEE 2025-01-01
Serie:	IEEE Access
Soggetti:	Inception-ViT (inception-enhanced vision transformer) variational mode decomposition locomotion mode recognition lower limb exoskeleton Kolmogorov-Arnold network
Accesso online:	https://ieeexplore.ieee.org/document/11159228/
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