PoPu-Data: A Multilayered, Simultaneously Collected Lying Position Dataset

Luís Fonseca, Fernando Ribeiro (), José Metrôlho, Adriana Santos, Rogério Dionisio, Mohammad Mohammad Amini, Arlindo F. Silva, Ahmad Reza Heravi, Davood Fanaei Sheikholeslami, Filipe Fidalgo, Francisco B. Rodrigues, Osvaldo Santos, Patrícia Coelho and Seyyed Sajjad Aemmi
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Luís Fonseca: Polytechnic Institute of Castelo Branco, 6000-081 Castelo Branco, Portugal
Fernando Ribeiro: Polytechnic Institute of Castelo Branco, 6000-081 Castelo Branco, Portugal
José Metrôlho: Polytechnic Institute of Castelo Branco, 6000-081 Castelo Branco, Portugal
Adriana Santos: Polytechnic Institute of Castelo Branco, 6000-081 Castelo Branco, Portugal
Rogério Dionisio: Polytechnic Institute of Castelo Branco, 6000-081 Castelo Branco, Portugal
Mohammad Mohammad Amini: Sensomatt Lda., R&D Department, 6000-767 Castelo Branco, Portugal
Arlindo F. Silva: Polytechnic Institute of Castelo Branco, 6000-081 Castelo Branco, Portugal
Ahmad Reza Heravi: Sensomatt Lda., R&D Department, 6000-767 Castelo Branco, Portugal
Davood Fanaei Sheikholeslami: Sensomatt Lda., R&D Department, 6000-767 Castelo Branco, Portugal
Filipe Fidalgo: Polytechnic Institute of Castelo Branco, 6000-081 Castelo Branco, Portugal
Francisco B. Rodrigues: Polytechnic Institute of Castelo Branco, 6000-081 Castelo Branco, Portugal
Osvaldo Santos: Polytechnic Institute of Castelo Branco, 6000-081 Castelo Branco, Portugal
Patrícia Coelho: Polytechnic Institute of Castelo Branco, 6000-081 Castelo Branco, Portugal
Seyyed Sajjad Aemmi: Sensomatt Lda., R&D Department, 6000-767 Castelo Branco, Portugal

Data, 2023, vol. 8, issue 7, 1-8

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.

Keywords: in-bed posture; lying posture; pressure dataset; pressure-map dataset (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2023
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