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

Author

Listed:
  • Luís Fonseca

    (Polytechnic Institute of Castelo Branco, 6000-081 Castelo Branco, Portugal)

  • Fernando Ribeiro

    (Polytechnic Institute of Castelo Branco, 6000-081 Castelo Branco, Portugal
    DiSAC—Research Unit on Digital Services, Applications and Content, 6000-767 Castelo Branco, Portugal)

  • José Metrôlho

    (Polytechnic Institute of Castelo Branco, 6000-081 Castelo Branco, Portugal
    DiSAC—Research Unit on Digital Services, Applications and Content, 6000-767 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
    DiSAC—Research Unit on Digital Services, Applications and Content, 6000-767 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
    DiSAC—Research Unit on Digital Services, Applications and Content, 6000-767 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
    DiSAC—Research Unit on Digital Services, Applications and Content, 6000-767 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
    DiSAC—Research Unit on Digital Services, Applications and Content, 6000-767 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)

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.

Suggested Citation

  • Luís Fonseca & Fernando Ribeiro & José Metrôlho & Adriana Santos & Rogério Dionisio & Mohammad Mohammad Amini & Arlindo F. Silva & Ahmad Reza Heravi & Davood Fanaei Sheikholeslami & Filipe Fidalgo & F, 2023. "PoPu-Data: A Multilayered, Simultaneously Collected Lying Position Dataset," Data, MDPI, vol. 8(7), pages 1-8, July.
    • Handle: RePEc:gam:jdataj:v:8:y:2023:i:7:p:120-:d:1195213
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