{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,20]],"date-time":"2026-04-20T10:04:51Z","timestamp":1776679491978,"version":"3.51.2"},"reference-count":58,"publisher":"MDPI AG","issue":"18","license":[{"start":{"date-parts":[[2021,9,16]],"date-time":"2021-09-16T00:00:00Z","timestamp":1631750400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"the European Regional Development Fund in &quot;A 308 Research Platform focused on Industry 4.0 and Robotics in Ostrava Agglomeration","award":["CZ.02.1.01\/0.0\/0.0\/17_ 049\/0008425"],"award-info":[{"award-number":["CZ.02.1.01\/0.0\/0.0\/17_ 049\/0008425"]}]},{"name":"Student Grant System of VSB Technical University of Ostrava","award":["SP2021\\123"],"award-info":[{"award-number":["SP2021\\123"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>The number of smart homes is rapidly increasing. Smart homes typically feature functions such as voice-activated functions, automation, monitoring, and tracking events. Besides comfort and convenience, the integration of smart home functionality with data processing methods can provide valuable information about the well-being of the smart home residence. This study is aimed at taking the data analysis within smart homes beyond occupancy monitoring and fall detection. This work uses a multilayer perceptron neural network to recognize multiple human activities from wrist- and ankle-worn devices. The developed models show very high recognition accuracy across all activity classes. The cross-validation results indicate accuracy levels above 98% across all models, and scoring evaluation methods only resulted in an average accuracy reduction of 10%.<\/jats:p>","DOI":"10.3390\/s21186207","type":"journal-article","created":{"date-parts":[[2021,9,22]],"date-time":"2021-09-22T03:47:35Z","timestamp":1632282455000},"page":"6207","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":20,"title":["Human Activity Classification Using Multilayer Perceptron"],"prefix":"10.3390","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8657-275X","authenticated-orcid":false,"given":"Ojan","family":"Majidzadeh Gorjani","sequence":"first","affiliation":[{"name":"Department of Cybernetics and Biomedical Engineering, Faculty of Electrical Engineering and Computer Science, VSB\u2014Technical University of Ostrava, 700 30 Ostrava, Czech Republic"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5641-4670","authenticated-orcid":false,"given":"Radek","family":"Byrtus","sequence":"additional","affiliation":[{"name":"Department of Cybernetics and Biomedical Engineering, Faculty of Electrical Engineering and Computer Science, VSB\u2014Technical University of Ostrava, 700 30 Ostrava, Czech Republic"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8094-1027","authenticated-orcid":false,"given":"Jakub","family":"Dohnal","sequence":"additional","affiliation":[{"name":"Department of Cybernetics and Biomedical Engineering, Faculty of Electrical Engineering and Computer Science, VSB\u2014Technical University of Ostrava, 700 30 Ostrava, Czech Republic"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8655-778X","authenticated-orcid":false,"given":"Petr","family":"Bilik","sequence":"additional","affiliation":[{"name":"Department of Cybernetics and Biomedical Engineering, Faculty of Electrical Engineering and Computer Science, VSB\u2014Technical University of Ostrava, 700 30 Ostrava, Czech Republic"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7138-887X","authenticated-orcid":false,"given":"Jiri","family":"Koziorek","sequence":"additional","affiliation":[{"name":"Department of Cybernetics and Biomedical Engineering, Faculty of Electrical Engineering and Computer Science, VSB\u2014Technical University of Ostrava, 700 30 Ostrava, Czech Republic"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2054-143X","authenticated-orcid":false,"given":"Radek","family":"Martinek","sequence":"additional","affiliation":[{"name":"Department of Cybernetics and Biomedical Engineering, Faculty of Electrical Engineering and Computer Science, VSB\u2014Technical University of Ostrava, 700 30 Ostrava, Czech Republic"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2021,9,16]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1186\/s13673-017-0113-6","article-title":"Monitoring of the daily living activities in smart home care","volume":"7","author":"Vanus","year":"2017","journal-title":"Hum.-Centric Comput. 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