PoPu-Data: a multilayered, simultaneously collected lying position dataset

This study presents a dataset containing three layers of data that are useful for body position classification and all uses related to it. The PoPu dataset contains simultaneously collected data from two different sensor sheets—one placed over and one placed under a mattress; furthermore, a segmentation data layer was added where different body parts are identified using the pressure data from the sensors over the mattress. The data included were gathered from 60 healthy volunteers distributed among the different gathered characteristics: namely sex, weight, and height. This dataset can be used for position classification, assessing the viability of sensors placed under a mattress, and in applications regarding bedded or lying people or sleep related disorders.

Palavras-chave

In-bed posture Lying posture Pressure dataset Pressure-map dataset

URI

http://hdl.handle.net/10400.11/8559

Citação

FONSECA, L. [et al.] (2023) - PoPu-Data: a multilayered, simultaneously collected lying position dataset. Data. 8(7). DOI: https://doi.org/10.3390/data8070120

Editora

MDPI

DOI

https://doi.org/10.3390/data8070120

Coleções

ESTCB - Artigos em revistas com arbitragem científica
ESALD - Artigos em revistas com arbitragem científica

Licença CC

cclicense-by

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