{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,6]],"date-time":"2026-04-06T12:08:09Z","timestamp":1775477289647,"version":"3.50.1"},"reference-count":33,"publisher":"MDPI AG","issue":"15","license":[{"start":{"date-parts":[[2024,8,2]],"date-time":"2024-08-02T00:00:00Z","timestamp":1722556800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Aalen University of Applied Sciences"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>The behavior of pedestrians in a non-constrained environment is difficult to predict. In wearable robotics, this poses a challenge, since devices like lower-limb exoskeletons and active orthoses need to support different walking activities, including level walking and climbing stairs. While a fixed movement trajectory can be easily supported, switches between these activities are difficult to predict. Moreover, the demand for these devices is expected to rise in the years ahead. In this work, we propose a cloud software system for use in wearable robotics, based on geographical mapping techniques and Human Activity Recognition (HAR). The system aims to give context to the surrounding pedestrians by providing hindsight information. The system was partially implemented and tested. The results indicate a viable concept with great extensibility prospects.<\/jats:p>","DOI":"10.3390\/s24154997","type":"journal-article","created":{"date-parts":[[2024,8,2]],"date-time":"2024-08-02T09:34:17Z","timestamp":1722591257000},"page":"4997","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Conceptualization of Cloud-Based Motion Analysis and Navigation for Wearable Robotic Applications"],"prefix":"10.3390","volume":"24","author":[{"given":"David","family":"Schick","sequence":"first","affiliation":[{"name":"Institute for High Integrity Mechatronics Systems, Aalen University, 73430 Aalen, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Johannes","family":"Schick","sequence":"additional","affiliation":[{"name":"Institute for High Integrity Mechatronics Systems, Aalen University, 73430 Aalen, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-4991-6439","authenticated-orcid":false,"given":"Jonas Paul","family":"David","sequence":"additional","affiliation":[{"name":"Institute for High Integrity Mechatronics Systems, Aalen University, 73430 Aalen, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Robin","family":"Neubauer","sequence":"additional","affiliation":[{"name":"Institute for High Integrity Mechatronics Systems, Aalen University, 73430 Aalen, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8311-9781","authenticated-orcid":false,"given":"Markus","family":"Glaser","sequence":"additional","affiliation":[{"name":"Institute for High Integrity Mechatronics Systems, Aalen University, 73430 Aalen, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2024,8,2]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1622","DOI":"10.1097\/CORR.0000000000001214","article-title":"Projections of Primary TKA and THA in Germany from 2016 through 2040","volume":"478","author":"Rupp","year":"2020","journal-title":"Clin. 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