{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T02:34:40Z","timestamp":1760236480867,"version":"build-2065373602"},"reference-count":22,"publisher":"MDPI AG","issue":"23","license":[{"start":{"date-parts":[[2021,12,4]],"date-time":"2021-12-04T00:00:00Z","timestamp":1638576000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"EU Horizon 2020 Eurostars","award":["E!113491"],"award-info":[{"award-number":["E!113491"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>We present a system capable of providing visual feedback for ergometer training, allowing detailed analysis and gamification. The presented solution can easily upgrade any existing ergometer device. The system consists of a set of pedals with embedded sensors, readout electronics and wireless communication modules and a tablet device for interaction with the users, which can be mounted on any ergometer, transforming it into a full analytical assessment tool with interactive training capabilities. The methods to capture the forces and moments applied to the pedal, as well as the pedal\u2019s angular position, were validated using reference sensors and high-speed video capture systems. The mean-absolute error (MAE) for load is found to be 18.82 N, 25.35 N, 0.153 Nm for Fx, Fz and Mx respectively and the MAE for the pedal angle is 13.2\u00b0. A fully gamified experience of ergometer training has been demonstrated with the presented system to enhance the rehabilitation experience with audio visual feedback, based on measured cycling parameters.<\/jats:p>","DOI":"10.3390\/s21238115","type":"journal-article","created":{"date-parts":[[2021,12,6]],"date-time":"2021-12-06T03:10:38Z","timestamp":1638760238000},"page":"8115","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Integrated Pedal System for Data Driven Rehabilitation"],"prefix":"10.3390","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9865-9185","authenticated-orcid":false,"given":"Alessandro","family":"Schaer","sequence":"first","affiliation":[{"name":"Magnes AG, Selnaustrasse 5, 8001 Zurich, Switzerland"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4914-5561","authenticated-orcid":false,"given":"Oskar","family":"Helander","sequence":"additional","affiliation":[{"name":"Institute of Robotics and Intelligent Systems, ETH Zurich, Tannenstrasse 3, 8092 Zurich, Switzerland"}]},{"given":"Francesco","family":"Buffa","sequence":"additional","affiliation":[{"name":"Magnes AG, Selnaustrasse 5, 8001 Zurich, Switzerland"}]},{"given":"Alexis","family":"M\u00fcller","sequence":"additional","affiliation":[{"name":"Institute of Robotics and Intelligent Systems, ETH Zurich, Tannenstrasse 3, 8092 Zurich, Switzerland"}]},{"given":"Kevin","family":"Schneider","sequence":"additional","affiliation":[{"name":"Institute of Robotics and Intelligent Systems, ETH Zurich, Tannenstrasse 3, 8092 Zurich, Switzerland"}]},{"given":"Henrik","family":"Maurenbrecher","sequence":"additional","affiliation":[{"name":"Institute of Robotics and Intelligent Systems, ETH Zurich, Tannenstrasse 3, 8092 Zurich, Switzerland"}]},{"given":"Barna","family":"Becsek","sequence":"additional","affiliation":[{"name":"Magnes AG, Selnaustrasse 5, 8001 Zurich, Switzerland"}]},{"given":"George","family":"Chatzipirpiridis","sequence":"additional","affiliation":[{"name":"Magnes AG, Selnaustrasse 5, 8001 Zurich, Switzerland"}]},{"given":"Olgac","family":"Ergeneman","sequence":"additional","affiliation":[{"name":"Magnes AG, Selnaustrasse 5, 8001 Zurich, Switzerland"}]},{"given":"Salvador","family":"Pan\u00e9","sequence":"additional","affiliation":[{"name":"Institute of Robotics and Intelligent Systems, ETH Zurich, Tannenstrasse 3, 8092 Zurich, Switzerland"}]},{"given":"Bradley J.","family":"Nelson","sequence":"additional","affiliation":[{"name":"Institute of Robotics and Intelligent Systems, ETH Zurich, Tannenstrasse 3, 8092 Zurich, Switzerland"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9588-5969","authenticated-orcid":false,"given":"Nina","family":"Schaffert","sequence":"additional","affiliation":[{"name":"Institute f\u00fcr Bewegungswissenschaft, University Hamburg, Turmweg 2, 20148 Hamburg, Germany"},{"name":"BeSB Sound Engineering Berlin, Nalepastra\u00dfe 18, 12459 Berlin, Germany"}]}],"member":"1968","published-online":{"date-parts":[[2021,12,4]]},"reference":[{"key":"ref_1","unstructured":"Industry-ARC (2021, September 25). 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