Technology for Improving the Accuracy of Predicting the Position and Speed of Human Movement Based on Machine Learning Models

Technology for Improving the Accuracy of Predicting the Position and Speed of Human Movement Based on Machine Learning Models

The solution to the problem of insufficient accuracy in determining the position and speed of human movement during interaction with a treadmill-based training complex is considered. Control command generation based on the training complex user’s actions may be performed with a delay, may not take i...

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Bibliographic Details
Main Authors: Artem Obukhov, Denis Dedov, Andrey Volkov, Maksim Rybachok
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Technologies
Subjects:
machine learning
neural networks
computer vision
speed prediction
human movement analysis
running platforms
Online Access:https://www.mdpi.com/2227-7080/13/3/101
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