A Self-Attention Enhanced Deep CNN-LSTM-Based Irregular Surface Recognition Approach for Integration Into Lower Limb Prosthesis Systems to Ensure Safety Through Predictive Walking

A Self-Attention Enhanced Deep CNN-LSTM-Based Irregular Surface Recognition Approach for Integration Into Lower Limb Prosthesis Systems to Ensure Safety Through Predictive Walking

Advancements in instrumentation and control systems for lower limb prostheses have substantially improved mobility for amputees. However, significant challenges persist when users encounter irregular surfaces, as most prosthetic systems lack the capability to dynamically adapt to surface variations....

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Bibliographic Details
Main Authors: Norazian Subari, Kamarul Hawari Ghazali, Yuanfa Ji
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Artificial intelligence (AI)
convolutional neural networks (CNNs)
deep learning (DL)
inertial measurement units (IMUs)
lower limb prostheses
Online Access:https://ieeexplore.ieee.org/document/10988775/
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