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...

Full description

Saved in:
Bibliographic Details
Main Authors: Reza Shakerian, Meisam Yadollahzadeh‐Tabari, Seyed Yaser Bozorgi Rad
Format: Article
Language:English
Published: Wiley 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
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items