Proposing a Fuzzy Soft‐max‐based classifier in a hybrid deep learning architecture for human activity recognition

Proposing a Fuzzy Soft‐max‐based classifier in a hybrid deep learning architecture for human activity recognition

Abstract Human Activity Recognition (HAR) is the process of identifying and analysing activities performed by a person (or persons). This paper proposes an efficient HAR system based on wearable sensors that uses deep learning techniques. The proposed HAR takes the advantage of staking Convolutional...

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Bibliographic Details
Main Authors: Reza Shakerian, Meisam Yadollahzadeh‐Tabari, Seyed Yaser Bozorgi Rad
Format: Article
Language:English
Published: Hindawi-IET 2022-03-01
Series:IET Biometrics
Subjects:
deep learning
Fuzzy
Human Activity Recognition (HAR)
soft‐max classifier
Online Access:https://doi.org/10.1049/bme2.12066

Internet

https://doi.org/10.1049/bme2.12066

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