A stacked CNN and random forest ensemble architecture for complex nursing activity recognition and nurse identification

A stacked CNN and random forest ensemble architecture for complex nursing activity recognition and nurse identification

Abstract Nursing activity recognition has immense importance in the development of smart healthcare management and is an extremely challenging area of research in human activity recognition. The main reasons are an extreme class-imbalance problem and intra-class variability depending on both the sub...

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Bibliographic Details
Main Authors: Arafat Rahman, Nazmun Nahid, Björn Schuller, Md Atiqur Rahman Ahad
Format: Article
Language:English
Published: Nature Portfolio 2024-12-01
Series:Scientific Reports
Subjects:
Nursing activity recognition
User identification
Human activity recognition
Data augmentation
Feature engineering
Deep learning
Online Access:https://doi.org/10.1038/s41598-024-81228-x
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https://doi.org/10.1038/s41598-024-81228-x

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