dc.contributor.advisor | | |
dc.contributor.author | Latsch, Bastian | |
dc.contributor.author | Schäfer, Niklas | |
dc.contributor.author | Seiler, Julian | |
dc.contributor.author | Stein, Lars | |
dc.contributor.author | Hammen, Lukas Hugo | |
dc.contributor.author | Herbst, Felix | |
dc.contributor.author | Beckerle, Philipp | |
dc.contributor.author | Kupnik, Mario | |
dc.date.accessioned | 2024-06-20T09:46:55Z | |
dc.date.available | 2024-06-20T09:46:55Z | |
dc.date.issued | 2024 | |
dc.identifier.uri | https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/4264 | |
dc.identifier.uri | https://doi.org/10.48328/tudatalib-1471 | |
dc.description | Project 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.iso | en | de_DE |
dc.rights | Creative Commons Attribution 4.0 | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.subject | motion capture system | de_DE |
dc.subject | inertial measurement unit | de_DE |
dc.subject | wearable sensors | de_DE |
dc.subject | kinematics | de_DE |
dc.subject | sensor-to-segment alignment | de_DE |
dc.subject.classification | 4.41-01 Automatisierungstechnik, Mechatronik, Regelungssysteme, Intelligente Technische Systeme, Robotik | de_DE |
dc.subject.classification | 4.41-02 Messsysteme | de_DE |
dc.subject.classification | 4.41-05 Arbeitswissenschaft, Ergonomie, Mensch-Maschine-Systeme | de_DE |
dc.subject.classification | 4.42-01 Elektronische Halbleiter, Bauelemente und Schaltungen, Integrierte Systeme, Sensorik, Theoretische Elektrotechnik | de_DE |
dc.subject.ddc | 621.3 | |
dc.subject.ddc | 620 | |
dc.title | Open Source Hardware: Wireless Inertial Motion Capture System | de_DE |
dc.type | Software | de_DE |
dc.type | Model | de_DE |
dc.description.version | 1.0 | de_DE |
tud.project | DFG | GRK2761 | TP_Kupnik_GRK_2761 | de_DE |
tud.project | DFG | GRK 2761 | TP_Beckerle_GRK_2761 | de_DE |
tud.unit | TUDa | |
tud.history.classification | Version=2020-2024;407-01 Automatisierungstechnik, Regelungssysteme, Robotik, Mechatronik, Cyber Physical Systems | |
tud.history.classification | Version=2020-2024;407-02 Messsysteme | |
tud.history.classification | Version=2020-2024;407-05 Arbeitswissenschaft, Ergonomie, Mensch-Maschine-Systeme | |
tud.history.classification | Version=2020-2024;408-01 Elektronische Halbleiter, Bauelemente und Schaltungen, Integrierte Systeme | |