iSPLInception: An Inception-ResNet Deep Learning Architecture for Human Activity Recognition

iSPLInception: An Inception-ResNet Deep Learning Architecture for Human Activity Recognition

Advances in deep learning (DL) model design have pushed the boundaries of the areas in which it can be applied. The fields with an immense availability of complex big data have been big beneficiaries of these advances. One such field is human activity recognition (HAR). HAR is a popular area of rese...

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Bibliographic Details
Main Authors: Mutegeki Ronald, Alwin Poulose, Dong Seog Han
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Human activity recognition
deep learning
inception module
Inception-ResNet
time-series classification
Online Access:https://ieeexplore.ieee.org/document/9425494/

Internet

https://ieeexplore.ieee.org/document/9425494/

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