Article

TinyML Implementation of CNN-Based Gait Analysis for Low-Cost Motorized Prosthetics: A Proof-of-Concept

2025-09-30

Abstract excerpt

Real-time gait analysis is essential for the development of responsive and reliable motorized prosthetics. Deploying advanced deep learning models on resource-constrained embedded systems, however, remains a major challenge. This proof-of-concept study presents a TinyML-based approach for knee joint angle prediction using convolutional neural networks (CNNs) trained on inertial measurement unit (IMU) signals. Gait...

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Literature Corpus work: 2e2625cf-db55-5f21-ac66-3cee6f02a8ef
DOI: 10.20944/preprints202509.2473.v1

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