Effects of the Number of Classes and Pressure Map Resolution on Fine-Grained In-Bed Posture Classification

In-bed posture classification has attracted considerable research interest and has significant potential to enhance healthcare applications. Recent works generally use approaches based on pressure maps, machine learning algorithms and focused mainly on finding solutions to obtain high accuracy in po...

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Bibliografische Detailangaben

Hauptverfasser:	Luís Fonseca, Fernando Ribeiro, José Metrôlho
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2023-12-01
Schriftenreihe:	Computation
Schlagworte:	in-bed posture posture classification posture recognition pressure map dataset
Online-Zugang:	https://www.mdpi.com/2079-3197/11/12/239
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