Conventional Training Integrated with SteamVR Tracking 2.0: Body Stability and Coordination Training Evaluation on ICAROS Pro
Technological advances continually reduce the effort to digitally transform health-related activities such as rehabilitation and training. Exemplary systems use tracking and vital sign monitoring to assess physical condition and training progress. This paper presents a system for body stability trai...
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| Format: | Article |
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MDPI AG
2025-04-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/25/9/2840 |
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| author | Katharina Meiszl Fabian Ratert Tessa Schulten Daniel Wiswede Lara Kuhlmann de Canaviri Tobias Potthast Marc Silberbach Laurin Hake Yannik Warnecke Witold Schiprowski Mathias Merschhemke Christoph M. Friedrich Raphael Brüngel |
| author_facet | Katharina Meiszl Fabian Ratert Tessa Schulten Daniel Wiswede Lara Kuhlmann de Canaviri Tobias Potthast Marc Silberbach Laurin Hake Yannik Warnecke Witold Schiprowski Mathias Merschhemke Christoph M. Friedrich Raphael Brüngel |
| author_sort | Katharina Meiszl |
| collection | DOAJ |
| description | Technological advances continually reduce the effort to digitally transform health-related activities such as rehabilitation and training. Exemplary systems use tracking and vital sign monitoring to assess physical condition and training progress. This paper presents a system for body stability training and coordination evaluation, using cost-efficient tracking and monitoring solutions. It implements the use case of app-guided back posture tracking on the ICAROS Pro training device via SteamVR Tracking 2.0, with pulse and respiration rate monitoring via Zephyr BioHarness 3.0. A longitudinal study on training effects with 20 subjects was conducted, involving a representative procedure created with a sports manager. Posture errors served as the main progress indicator, and pulse and respiration rates as co-indicators. Outcomes suggest the system’s capabilities to foster comprehension of effects and steering of exercises. Further, a secondary study presents a self-developed VR-based exergame demo for future system expansion. The Empatica EmbracePlus smartwatch was used as an alternative for vital sign acquisition. The user experiences of five subjects gathered via a survey highlight its motivating and entertaining character. For both the main and secondary studies, a thorough discussion elaborates on potentials and current limitations. The developed training system can serve as template and be adjusted for further use cases, and the exergame’s reception revealed prospective extension directions. Software components are available via GitHub. |
| format | Article |
| id | doaj-art-e3a3c7f686a24cc1b8a8b490ec7e1bdc |
| institution | DOAJ |
| issn | 1424-8220 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj-art-e3a3c7f686a24cc1b8a8b490ec7e1bdc2025-08-20T02:59:08ZengMDPI AGSensors1424-82202025-04-01259284010.3390/s25092840Conventional Training Integrated with SteamVR Tracking 2.0: Body Stability and Coordination Training Evaluation on ICAROS ProKatharina Meiszl0Fabian Ratert1Tessa Schulten2Daniel Wiswede3Lara Kuhlmann de Canaviri4Tobias Potthast5Marc Silberbach6Laurin Hake7Yannik Warnecke8Witold Schiprowski9Mathias Merschhemke10Christoph M. Friedrich11Raphael Brüngel12Department of Computer Science, University of Applied Sciences and Arts Dortmund (FH Dortmund), 44227 Dortmund, GermanyDepartment of Computer Science, University of Applied Sciences and Arts Dortmund (FH Dortmund), 44227 Dortmund, GermanyDepartment of Computer Science, University of Applied Sciences and Arts Dortmund (FH Dortmund), 44227 Dortmund, GermanyDepartment of Computer Science, University of Applied Sciences and Arts Dortmund (FH Dortmund), 44227 Dortmund, GermanyDepartment of Computer Science, University of Applied Sciences and Arts Dortmund (FH Dortmund), 44227 Dortmund, GermanyDepartment of Computer Science, University of Applied Sciences and Arts Dortmund (FH Dortmund), 44227 Dortmund, GermanyDepartment of Computer Science, University of Applied Sciences and Arts Dortmund (FH Dortmund), 44227 Dortmund, GermanyDepartment of Computer Science, University of Applied Sciences and Arts Dortmund (FH Dortmund), 44227 Dortmund, GermanyDepartment of Computer Science, University of Applied Sciences and Arts Dortmund (FH Dortmund), 44227 Dortmund, GermanyDepartment of Computer Science, University of Applied Sciences and Arts Dortmund (FH Dortmund), 44227 Dortmund, GermanyTurn- und Sport-Club Eintracht von 1848/95 Korporation zu Dortmund (TSC Eintracht Dortmund), 44139 Dortmund, GermanyDepartment of Computer Science, University of Applied Sciences and Arts Dortmund (FH Dortmund), 44227 Dortmund, GermanyDepartment of Computer Science, University of Applied Sciences and Arts Dortmund (FH Dortmund), 44227 Dortmund, GermanyTechnological advances continually reduce the effort to digitally transform health-related activities such as rehabilitation and training. Exemplary systems use tracking and vital sign monitoring to assess physical condition and training progress. This paper presents a system for body stability training and coordination evaluation, using cost-efficient tracking and monitoring solutions. It implements the use case of app-guided back posture tracking on the ICAROS Pro training device via SteamVR Tracking 2.0, with pulse and respiration rate monitoring via Zephyr BioHarness 3.0. A longitudinal study on training effects with 20 subjects was conducted, involving a representative procedure created with a sports manager. Posture errors served as the main progress indicator, and pulse and respiration rates as co-indicators. Outcomes suggest the system’s capabilities to foster comprehension of effects and steering of exercises. Further, a secondary study presents a self-developed VR-based exergame demo for future system expansion. The Empatica EmbracePlus smartwatch was used as an alternative for vital sign acquisition. The user experiences of five subjects gathered via a survey highlight its motivating and entertaining character. For both the main and secondary studies, a thorough discussion elaborates on potentials and current limitations. The developed training system can serve as template and be adjusted for further use cases, and the exergame’s reception revealed prospective extension directions. Software components are available via GitHub.https://www.mdpi.com/1424-8220/25/9/2840body stability and coordinationICAROS ProSteamVR Tracking 2.0app-guided trainingvirtual realityexergame |
| spellingShingle | Katharina Meiszl Fabian Ratert Tessa Schulten Daniel Wiswede Lara Kuhlmann de Canaviri Tobias Potthast Marc Silberbach Laurin Hake Yannik Warnecke Witold Schiprowski Mathias Merschhemke Christoph M. Friedrich Raphael Brüngel Conventional Training Integrated with SteamVR Tracking 2.0: Body Stability and Coordination Training Evaluation on ICAROS Pro Sensors body stability and coordination ICAROS Pro SteamVR Tracking 2.0 app-guided training virtual reality exergame |
| title | Conventional Training Integrated with SteamVR Tracking 2.0: Body Stability and Coordination Training Evaluation on ICAROS Pro |
| title_full | Conventional Training Integrated with SteamVR Tracking 2.0: Body Stability and Coordination Training Evaluation on ICAROS Pro |
| title_fullStr | Conventional Training Integrated with SteamVR Tracking 2.0: Body Stability and Coordination Training Evaluation on ICAROS Pro |
| title_full_unstemmed | Conventional Training Integrated with SteamVR Tracking 2.0: Body Stability and Coordination Training Evaluation on ICAROS Pro |
| title_short | Conventional Training Integrated with SteamVR Tracking 2.0: Body Stability and Coordination Training Evaluation on ICAROS Pro |
| title_sort | conventional training integrated with steamvr tracking 2 0 body stability and coordination training evaluation on icaros pro |
| topic | body stability and coordination ICAROS Pro SteamVR Tracking 2.0 app-guided training virtual reality exergame |
| url | https://www.mdpi.com/1424-8220/25/9/2840 |
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