Evaluation of LSTM, GRU, and ANFIS Models for Ankle Angle and Ankle Moment Prediction Using Biomechanical Data

Evaluation of LSTM, GRU, and ANFIS Models for Ankle Angle and Ankle Moment Prediction Using Biomechanical Data

Accurate prediction of joint angles and moments is crucial for understanding human gait and developing assistive technologies, such as exoskeletons and prosthetics. This study compares the performance of Long Short-Term Memory (LSTM) networks, Gated Recurrent Units (GRU), and Adaptive Neuro-Fuzzy In...

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Bibliographic Details
Main Authors: T. S. Sangeetha, S. N. Muralikrishna, Advay Mandar Naik, Arun P. Parameswaran
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
LSTM
ANFIS
GRU
ankle angle
ankle moment
assistive technology
Online Access:https://ieeexplore.ieee.org/document/11087486/
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