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It provides crucial information for developing rehabilitation programs to improve balance and reduce fall risk. This paper aims to describe a new tool to gather and analyze the data from inertial sensors to allow automation and increased reliability in the future by removing practitioner bias and facilitating the FRT procedure. A new tool for gathering and analyzing data from inertial sensors has been developed to remove practitioner bias and streamline the FRT procedure. The study involved 54 senior citizens using smartphones with sensors to execute FRT. The methods included using a mobile app to gather data, using sensor-fusion algorithms like the Madgwick algorithm to estimate orientation, and attempting to estimate location by twice integrating accelerometer data. However, accurate position estimation was difficult, highlighting the need for more research and development. The study highlights the benefits and drawbacks of automated balance assessment testing with mobile device sensors, highlighting the potential of technology to enhance conventional health evaluations.<\/jats:p>","DOI":"10.3390\/s24041301","type":"journal-article","created":{"date-parts":[[2024,2,19]],"date-time":"2024-02-19T03:18:38Z","timestamp":1708312718000},"page":"1301","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Mobile Data Gathering and Preliminary Analysis for the Functional Reach Test"],"prefix":"10.3390","volume":"24","author":[{"given":"Lu\u00eds","family":"Francisco","sequence":"first","affiliation":[{"name":"Electrotechnical Department, Polytechnic University of Leiria, 2411-901 Leiria, Portugal"}]},{"given":"Jo\u00e3o","family":"Duarte","sequence":"additional","affiliation":[{"name":"Electrotechnical Department, Polytechnic University of Leiria, 2411-901 Leiria, Portugal"}]},{"given":"Carlos","family":"Albuquerque","sequence":"additional","affiliation":[{"name":"Health Sciences Research Unit: Nursing (UICISA: E), Nursing School of Coimbra (ESEnfC), 3004-011 Coimbra, Portugal"},{"name":"Higher School of Health, Polytechnic Institute of Viseu, 3504-510 Viseu, Portugal"},{"name":"Child Studies Research Center (CIEC), University of Minho, 4710-057 Braga, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8897-9123","authenticated-orcid":false,"given":"Daniel","family":"Albuquerque","sequence":"additional","affiliation":[{"name":"Instituto de Telecomunica\u00e7\u00f5es, Escola Superior de Tecnologia e Gest\u00e3o de \u00c1gueda, Universidade de Aveiro, 3750-127 \u00c1gueda, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3394-6762","authenticated-orcid":false,"given":"Ivan Miguel","family":"Pires","sequence":"additional","affiliation":[{"name":"Instituto de Telecomunica\u00e7\u00f5es, Escola Superior de Tecnologia e Gest\u00e3o de \u00c1gueda, Universidade de Aveiro, 3750-127 \u00c1gueda, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4383-0472","authenticated-orcid":false,"given":"Paulo Jorge","family":"Coelho","sequence":"additional","affiliation":[{"name":"Electrotechnical Department, Polytechnic University of Leiria, 2411-901 Leiria, Portugal"},{"name":"Institute for Systems Engineering and Computers at Coimbra (INESC Coimbra), 3030-290 Coimbra, Portugal"}]}],"member":"1968","published-online":{"date-parts":[[2024,2,17]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"49956","DOI":"10.1109\/ACCESS.2022.3173643","article-title":"Key Wearable Device Technologies Parameters for Innovative Healthcare Delivery in B5G Network: A Review","volume":"10","author":"Ajakwe","year":"2022","journal-title":"IEEE Access"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1109\/RBME.2018.2811735","article-title":"Promises and Challenges in the Use of Consumer-Grade Devices for Sleep Monitoring","volume":"11","author":"Roomkham","year":"2018","journal-title":"IEEE Rev. 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