PoPu-Data: A Multilayered, Simultaneously Collected Lying Position Dataset
Author:
Fonseca Luís1, Ribeiro Fernando12ORCID, Metrôlho José12ORCID, Santos Adriana1, Dionisio Rogério12ORCID, Amini Mohammad Mohammad3, Silva Arlindo F.12ORCID, Heravi Ahmad Reza3, Sheikholeslami Davood Fanaei3, Fidalgo Filipe12, Rodrigues Francisco B.1ORCID, Santos Osvaldo12, Coelho Patrícia1ORCID, Aemmi Seyyed Sajjad3
Affiliation:
1. Polytechnic Institute of Castelo Branco, 6000-081 Castelo Branco, Portugal 2. DiSAC—Research Unit on Digital Services, Applications and Content, 6000-767 Castelo Branco, Portugal 3. Sensomatt Lda., R&D Department, 6000-767 Castelo Branco, Portugal
Abstract
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.
Funder
SensoMatt project European Funds
Subject
Information Systems and Management,Computer Science Applications,Information Systems
Reference8 articles.
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