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dc.contributor.advisor
dc.contributor.authorLatsch, Bastian
dc.contributor.authorSchäfer, Niklas
dc.contributor.authorSeiler, Julian
dc.contributor.authorStein, Lars
dc.contributor.authorHammen, Lukas Hugo
dc.contributor.authorHerbst, Felix
dc.contributor.authorBeckerle, Philipp
dc.contributor.authorKupnik, Mario
dc.date.accessioned2024-06-20T09:46:55Z
dc.date.available2024-06-20T09:46:55Z
dc.date.issued2024
dc.identifier.urihttps://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/4264
dc.identifier.urihttps://doi.org/10.48328/tudatalib-1471
dc.descriptionProject for building the wireless inertial motion capture system released by the Measurement and Sensor Technology Group at Technische Universität Darmstadt as open source hardware. The system is based on a Raspberry Pi 4, or any compatible alternative host, as base station. It offers a modular approach with a variable number of inertial measurement unit (IMU) modules. The base station is required to provide a wireless access point for the ESP32-based IMU modules to connect to. The modules stream their data via UDP to the host upon request. The files for building the modules include electronics, housing, and the software. Please find the full description in the corresponding publication, full instructions for usage in the README.md file. This project is licensed as open source hardware under permissive licenses. Hardware is licensed under CERN-OHL-P v2. Software, except where otherwise noted, is licensed under Apache-2.0. Documentation is licensed under CC BY 4.0.de_DE
dc.language.isoende_DE
dc.rightsCreative Commons Attribution 4.0
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectmotion capture systemde_DE
dc.subjectinertial measurement unitde_DE
dc.subjectwearable sensorsde_DE
dc.subjectkinematicsde_DE
dc.subjectsensor-to-segment alignmentde_DE
dc.subject.classification4.41-01 Automatisierungstechnik, Mechatronik, Regelungssysteme, Intelligente Technische Systeme, Robotikde_DE
dc.subject.classification4.41-02 Messsystemede_DE
dc.subject.classification4.41-05 Arbeitswissenschaft, Ergonomie, Mensch-Maschine-Systemede_DE
dc.subject.classification4.42-01 Elektronische Halbleiter, Bauelemente und Schaltungen, Integrierte Systeme, Sensorik, Theoretische Elektrotechnikde_DE
dc.subject.ddc621.3
dc.subject.ddc620
dc.titleOpen Source Hardware: Wireless Inertial Motion Capture Systemde_DE
dc.typeSoftwarede_DE
dc.typeModelde_DE
dc.description.version1.0de_DE
tud.projectDFG | GRK2761 | TP_Kupnik_GRK_2761de_DE
tud.projectDFG | GRK 2761 | TP_Beckerle_GRK_2761de_DE
tud.unitTUDa
tud.history.classificationVersion=2020-2024;407-01 Automatisierungstechnik, Regelungssysteme, Robotik, Mechatronik, Cyber Physical Systems
tud.history.classificationVersion=2020-2024;407-02 Messsysteme
tud.history.classificationVersion=2020-2024;407-05 Arbeitswissenschaft, Ergonomie, Mensch-Maschine-Systeme
tud.history.classificationVersion=2020-2024;408-01 Elektronische Halbleiter, Bauelemente und Schaltungen, Integrierte Systeme


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Creative Commons Attribution 4.0
Solange nicht anders angezeigt, wird die Lizenz wie folgt beschrieben: Creative Commons Attribution 4.0