Multimodal data-based human motion intention prediction using adaptive hybrid deep learning network for movement challenged person

Multimodal data-based human motion intention prediction using adaptive hybrid deep learning network for movement challenged person

Abstract Recently, social demands for a good quality of life have increased among the elderly and disabled people. So, biomedical engineers and robotic researchers aimed to fuse these techniques in a novel rehabilitation system. Moreover, these models utilized the biomedical signals acquired from th...

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Bibliographic Details
Main Author: Mustufa Haider Abidi
Format: Article
Language:English
Published: Nature Portfolio 2024-12-01
Series:Scientific Reports
Subjects:
Human motion intention prediction
Multimodal data
Improved yellow saddle goatfish algorithm
Adaptive hybrid convolution neural network with long short-term memory
Adaptive hybrid convolution neural network with residual network and long short-term memory
Online Access:https://doi.org/10.1038/s41598-024-82624-z
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https://doi.org/10.1038/s41598-024-82624-z

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