The effect of network depth in neural network for human gait cycle prediction

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The effect of network depth in neural network for human gait cycle prediction

Artificial neural networks were implemented satisfactorily to assess gait events from various walking data. This research is to study the suitable network depth in neural network technique for developing human gait cycle prediction model using artificial neural network. Gait dataset is retrieved fro...

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Bibliographic Details
Published in:	AIP Conference Proceedings
Main Author:	Rashidi D.N.; Izhar C.A.A.; Salian S.F.; Ibrahim M.N.; Abdullah M.F.
Format:	Conference paper
Language:	English
Published:	American Institute of Physics Inc. 2023
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85166760836&doi=10.1063%2f5.0117708&partnerID=40&md5=184a297c9ec3bb6eea26c2f3d7094c0d

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