Real-time forecasting of pathological gait via IMU navigation: a few-shot and generative learning framework for wearable devices

Real-time forecasting of pathological gait via IMU navigation: a few-shot and generative learning framework for wearable devices

Abstract Current gait analysis faces challenges in various aspects, including limited and poorly labeled data within existing wearable electronics databases, difficulties in collecting patient data due to privacy concerns, and the inadequacy of the Zero-Velocity Update Technique (ZUPT) in accurately...

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Bibliographic Details
Main Authors: Wenwen Zhang, Hao Zhang, Zenan Jiang, Amir Servati, Peyman Servati
Format: Article
Language:English
Published: Springer 2025-07-01
Series:Discover Electronics
Subjects:
Few-shot machine learning
Gait analysis
Generative model
Multitask dataset
Pathological gaits
Wearable sensors
Online Access:https://doi.org/10.1007/s44291-025-00093-8
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https://doi.org/10.1007/s44291-025-00093-8

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