{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T20:02:48Z","timestamp":1776888168602,"version":"3.51.2"},"reference-count":8,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2023,7,16]],"date-time":"2023-07-16T00:00:00Z","timestamp":1689465600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"SensoMatt project","award":["CENTRO-01-0247-FEDER-070107"],"award-info":[{"award-number":["CENTRO-01-0247-FEDER-070107"]}]},{"name":"SensoMatt project","award":["CENTRO2020"],"award-info":[{"award-number":["CENTRO2020"]}]},{"name":"European Funds (FEDER)","award":["CENTRO-01-0247-FEDER-070107"],"award-info":[{"award-number":["CENTRO-01-0247-FEDER-070107"]}]},{"name":"European Funds (FEDER)","award":["CENTRO2020"],"award-info":[{"award-number":["CENTRO2020"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Data"],"abstract":"<jats:p>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\u2014one 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.<\/jats:p>","DOI":"10.3390\/data8070120","type":"journal-article","created":{"date-parts":[[2023,7,17]],"date-time":"2023-07-17T00:35:04Z","timestamp":1689554104000},"page":"120","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["PoPu-Data: A Multilayered, Simultaneously Collected Lying Position Dataset"],"prefix":"10.3390","volume":"8","author":[{"given":"Lu\u00eds","family":"Fonseca","sequence":"first","affiliation":[{"name":"Polytechnic Institute of Castelo Branco, 6000-081 Castelo Branco, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1225-3844","authenticated-orcid":false,"given":"Fernando","family":"Ribeiro","sequence":"additional","affiliation":[{"name":"Polytechnic Institute of Castelo Branco, 6000-081 Castelo Branco, Portugal"},{"name":"DiSAC\u2014Research Unit on Digital Services, Applications and Content, 6000-767 Castelo Branco, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7327-2109","authenticated-orcid":false,"given":"Jos\u00e9","family":"Metr\u00f4lho","sequence":"additional","affiliation":[{"name":"Polytechnic Institute of Castelo Branco, 6000-081 Castelo Branco, Portugal"},{"name":"DiSAC\u2014Research Unit on Digital Services, Applications and Content, 6000-767 Castelo Branco, Portugal"}]},{"given":"Adriana","family":"Santos","sequence":"additional","affiliation":[{"name":"Polytechnic Institute of Castelo Branco, 6000-081 Castelo Branco, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6810-2447","authenticated-orcid":false,"given":"Rog\u00e9rio","family":"Dionisio","sequence":"additional","affiliation":[{"name":"Polytechnic Institute of Castelo Branco, 6000-081 Castelo Branco, Portugal"},{"name":"DiSAC\u2014Research Unit on Digital Services, Applications and Content, 6000-767 Castelo Branco, Portugal"}]},{"given":"Mohammad Mohammad","family":"Amini","sequence":"additional","affiliation":[{"name":"Sensomatt Lda., R&D Department, 6000-767 Castelo Branco, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0620-7518","authenticated-orcid":false,"given":"Arlindo F.","family":"Silva","sequence":"additional","affiliation":[{"name":"Polytechnic Institute of Castelo Branco, 6000-081 Castelo Branco, Portugal"},{"name":"DiSAC\u2014Research Unit on Digital Services, Applications and Content, 6000-767 Castelo Branco, Portugal"}]},{"given":"Ahmad Reza","family":"Heravi","sequence":"additional","affiliation":[{"name":"Sensomatt Lda., R&D Department, 6000-767 Castelo Branco, Portugal"}]},{"given":"Davood Fanaei","family":"Sheikholeslami","sequence":"additional","affiliation":[{"name":"Sensomatt Lda., R&D Department, 6000-767 Castelo Branco, Portugal"}]},{"given":"Filipe","family":"Fidalgo","sequence":"additional","affiliation":[{"name":"Polytechnic Institute of Castelo Branco, 6000-081 Castelo Branco, Portugal"},{"name":"DiSAC\u2014Research Unit on Digital Services, Applications and Content, 6000-767 Castelo Branco, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8405-4249","authenticated-orcid":false,"given":"Francisco B.","family":"Rodrigues","sequence":"additional","affiliation":[{"name":"Polytechnic Institute of Castelo Branco, 6000-081 Castelo Branco, Portugal"}]},{"given":"Osvaldo","family":"Santos","sequence":"additional","affiliation":[{"name":"Polytechnic Institute of Castelo Branco, 6000-081 Castelo Branco, Portugal"},{"name":"DiSAC\u2014Research Unit on Digital Services, Applications and Content, 6000-767 Castelo Branco, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9862-0691","authenticated-orcid":false,"given":"Patr\u00edcia","family":"Coelho","sequence":"additional","affiliation":[{"name":"Polytechnic Institute of Castelo Branco, 6000-081 Castelo Branco, Portugal"}]},{"given":"Seyyed Sajjad","family":"Aemmi","sequence":"additional","affiliation":[{"name":"Sensomatt Lda., R&D Department, 6000-767 Castelo Branco, Portugal"}]}],"member":"1968","published-online":{"date-parts":[[2023,7,16]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Fonseca, L., Ribeiro, F., and Metr\u00f4lho, J. (2023). Lying-People Pressure-Map Datasets: A Systematic Review. Data, 8.","DOI":"10.3390\/data8010012"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Russo, A., Licciardo, G.D., Di Benedetto, L., Rubino, A., Liguori, R., Naddeo, A., and Cappetti, N. (2021, January 6\u20139). Quantized Fully Convolution Neural Network for HW Implementation of Human Posture Recognition. Proceedings of the 2021 IEEE 3rd International Conference on Artificial Intelligence Circuits and Systems, AICAS 2021, Washington, DC, USA.","DOI":"10.1109\/AICAS51828.2021.9458487"},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Channa, A., Yousuf, M., and Popescu, N. (2020, January 29\u201330). Machine Learning Algorithms for Posture Identification of Obstructive Sleep Apnea Patients using IoT Solutions. Proceedings of the 2020 8th E-Health and Bioengineering Conference, EHB 2020, Iasi, Romania.","DOI":"10.1109\/EHB50910.2020.9279879"},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Dam, H.P., Pham, N.D.A., Pham, H.M., Doan, N.P., Nguyen, D.M., and Nguyen, H.H. (2021, January 21\u201322). In-bed posture classification using pressure sensor data and spiking neural network. Proceedings of the 2021 8th NAFOSTED Conference on Information and Computer Science, NICS 2021, Hanoi, Vietnam.","DOI":"10.1109\/NICS54270.2021.9701531"},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Stern, L., and Roshan Fekr, A. (2023). In-Bed Posture Classification Using Deep Neural Network. Sensors, 23.","DOI":"10.3390\/s23052430"},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Silva, A., Metr\u00f4lho, J., Ribeiro, F., Fidalgo, F., Santos, O., and Dionisio, R. (2022). A Review of Intelligent Sensor-Based Systems for Pressure Ulcer Prevention. Computers, 11.","DOI":"10.3390\/computers11010006"},{"key":"ref_7","unstructured":"(2023, June 01). Tactile Surface Sensor|Real-Time Surface Pressure Mapping Technology|Pressure Pad|Force Sensitive Resistor|Matrix Tactile Sensor|Pressure Mapping System FSR. Available online: https:\/\/tactilus.net\/."},{"key":"ref_8","unstructured":"(2023, June 30). Roboflow Annotate. Available online: https:\/\/roboflow.com\/annotate."}],"container-title":["Data"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2306-5729\/8\/7\/120\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T20:12:55Z","timestamp":1760127175000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2306-5729\/8\/7\/120"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7,16]]},"references-count":8,"journal-issue":{"issue":"7","published-online":{"date-parts":[[2023,7]]}},"alternative-id":["data8070120"],"URL":"https:\/\/doi.org\/10.3390\/data8070120","relation":{},"ISSN":["2306-5729"],"issn-type":[{"value":"2306-5729","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,7,16]]}}}