Curriculum Vitae
![](https://i0.wp.com/www.tobiasfeigl.de/wp-content/uploads/2021/11/cropped-fgl9.png?resize=150%2C150)
Publications (peer-reviewed)
2021
![Accuracy-Aware Compression of Channel Impulse Responses using Deep Learning](https://i0.wp.com/www.tobiasfeigl.de/wp-content/uploads/2021/12/feigl21a.png?w=222)
Accuracy-Aware Compression of Channel Impulse Responses using Deep Learning Inproceedings
In: Proc. Intl. Conf. on Indoor Positioning and Indoor Navigation (IPIN), pp. 1-8, 2021.
![Datengetriebene Methoden zur Bestimmung von Position und Orientierung in funk‐ und trägheitsbasierter Koppelnavigation](https://i0.wp.com/www.tobiasfeigl.de/wp-content/uploads/2021/12/feigl21b-1.png?w=222)
Datengetriebene Methoden zur Bestimmung von Position und Orientierung in funk‐ und trägheitsbasierter Koppelnavigation PhD Thesis
Friedrich-Alexander-Universität Erlangen-Nürnberg, 2021.
![Robust ToA-Estimation using Convolutional Neural Networks on Randomized Channel Models](https://i0.wp.com/www.tobiasfeigl.de/wp-content/uploads/2021/12/feigl21c.png?w=222)
Robust ToA-Estimation using Convolutional Neural Networks on Randomized Channel Models Inproceedings
In: Proc. Intl. Conf. on Indoor Positioning and Indoor Navigation (IPIN), pp. 1-8, 2021.
![Contact Tracing with the Exposure Notification Framework in the German Corona-Warn-App](https://i0.wp.com/www.tobiasfeigl.de/wp-content/uploads/2021/12/feigl21d.png?w=222)
Contact Tracing with the Exposure Notification Framework in the German Corona-Warn-App Inproceedings
In: Proc. Intl. Conf. on Indoor Positioning and Indoor Navigation (IPIN), pp. 1-8, 2021.
![Estimating TOA Reliability with Variational Autoencoders](https://i0.wp.com/www.tobiasfeigl.de/wp-content/uploads/2021/12/feigl21e.png?w=222)
Estimating TOA Reliability with Variational Autoencoders Journal Article
In: IEEE Sensors Journal, pp. 1-6, 2021.
![Methods and Apparatuses for Positioning in a Wireless Communications Network](https://i0.wp.com/www.tobiasfeigl.de/wp-content/uploads/2021/12/pat6ep-1.png?w=222)
Methods and Apparatuses for Positioning in a Wireless Communications Network Miscellaneous
EP3819657, 2021, (European Patent Office).
![Methods and Apparatuses for Positioning in a Wireless Communications Network](https://i0.wp.com/www.tobiasfeigl.de/wp-content/uploads/2021/12/pat6wo-1.png?w=222)
Methods and Apparatuses for Positioning in a Wireless Communications Network Miscellaneous
WO/2021/089258, 2021, (Patent Cooperation Treaty).
2020
![A Sense of Quality for Augmented Reality Assisted Process Guidance](https://i0.wp.com/www.tobiasfeigl.de/wp-content/uploads/2021/12/feigl20e.png?w=222)
A Sense of Quality for Augmented Reality Assisted Process Guidance Inproceedings
In: Proc. Intl. Symp. on Mixed Reality and Augmented Reality (ISMAR), pp. 1–6, Pernambuco, Brasil, 2020.
![Real-Time Gait Reconstruction For Virtual Reality Using a Single Sensor](https://i0.wp.com/www.tobiasfeigl.de/wp-content/uploads/2021/12/feigl20a.png?w=222)
Real-Time Gait Reconstruction For Virtual Reality Using a Single Sensor Inproceedings
In: Proc. Intl. Symp. on Mixed Reality and Augmented Reality (ISMAR), pp. 1–6, Pernambuco, Brasil, 2020.
![RNN-aided Human Velocity Estimation from a Single IMU](https://i0.wp.com/www.tobiasfeigl.de/wp-content/uploads/2021/12/feigl20b.png?w=222)
RNN-aided Human Velocity Estimation from a Single IMU Journal Article
In: Sensors J., vol. 13, no. 4512, pp. 1-31, 2020.
![Localization Limitations of ARCore, ARKit, and Hololens in Dynamic Large-Scale Industry Environments](https://i0.wp.com/www.tobiasfeigl.de/wp-content/uploads/2021/12/feigl20c.png?w=222)
Localization Limitations of ARCore, ARKit, and Hololens in Dynamic Large-Scale Industry Environments Inproceedings
In: Proc. Intl. Conf. on Computer Vision, Imaging and Computer Graphics Theory and Applications (GRAPP), pp. 307-318, Valletta, Malta, 2020.
![ViPR: Visual-Odometry-aided Pose Regression for 6DoF Camera Localization](https://i0.wp.com/www.tobiasfeigl.de/wp-content/uploads/2021/12/feigl20d.png?w=222)
ViPR: Visual-Odometry-aided Pose Regression for 6DoF Camera Localization Inproceedings
In: Proc. Intl. Conf. on Computer Vision and Patter Recognition (CVPR), pp. 42-43, Seattle, Washington, 2020.
![Method to Determine a Present Position of an Object, Positioning System, Tracker and Computer Program](https://i0.wp.com/www.tobiasfeigl.de/wp-content/uploads/2021/12/pat3cn-1.png?w=222)
Method to Determine a Present Position of an Object, Positioning System, Tracker and Computer Program Miscellaneous
CN111512269, 2020, (Chinese Patent Office).
![Method to Determine a Present Position of an Object, Positioning System, Tracker and Computer Program](https://i0.wp.com/www.tobiasfeigl.de/wp-content/uploads/2021/12/pat3ep-1.png?w=222)
Method to Determine a Present Position of an Object, Positioning System, Tracker and Computer Program Miscellaneous
EP3724744, 2020, (European Patent Office).
![Method to Determine a Present Position of an Object, Positioning System, Tracker and Computer Program](https://i0.wp.com/www.tobiasfeigl.de/wp-content/uploads/2021/12/pat3us-1.png?w=222)
Method to Determine a Present Position of an Object, Positioning System, Tracker and Computer Program Miscellaneous
US20200371226, 2020, (United States of America Patent Office).
![Method for Predicting a Motion of an Object, Method for Calibrating a Motion Model, Method for Deriving a Predefined Quantity and Method for Generating a Virtual Reality View](https://i0.wp.com/www.tobiasfeigl.de/wp-content/uploads/2021/12/pat4cn.png?w=222)
Method for Predicting a Motion of an Object, Method for Calibrating a Motion Model, Method for Deriving a Predefined Quantity and Method for Generating a Virtual Reality View Miscellaneous
CN111527465, 2020, (Chinese Patent Office).
![Method for Predicting a Motion of an Object, Method for Calibrating a Motion Model, Method for Deriving a Predefined Quantity and Method for Generating a Virtual Reality View](https://i0.wp.com/www.tobiasfeigl.de/wp-content/uploads/2021/12/pat4us.png?w=222)
Method for Predicting a Motion of an Object, Method for Calibrating a Motion Model, Method for Deriving a Predefined Quantity and Method for Generating a Virtual Reality View Miscellaneous
US20200334837, 2020, (United States of America Patent Office).
![Method for Predicting a Motion of an Object, Method for Calibrating a Motion Model, Method for Deriving a Predefined Quantity and Method for Generating a Virtual Reality View](https://i0.wp.com/www.tobiasfeigl.de/wp-content/uploads/2021/12/pat4ep.png?w=222)
Method for Predicting a Motion of an Object, Method for Calibrating a Motion Model, Method for Deriving a Predefined Quantity and Method for Generating a Virtual Reality View Miscellaneous
EP3732549, 2020, (European Patent Office).
2019
![A Bidirectional LSTM for Estimating Dynamic Human Velocities from a Single IMU](https://i0.wp.com/www.tobiasfeigl.de/wp-content/uploads/2021/12/feigl19a.png?w=222)
A Bidirectional LSTM for Estimating Dynamic Human Velocities from a Single IMU Inproceedings
In: Proc. Intl. Conf. Indoor Positioning and Indoor Navigation (IPIN), pp. 1–10, Pisa, Italy, 2019.
![Sick Moves! Motion Parameters as Indicators of Simulator Sickness](https://i0.wp.com/www.tobiasfeigl.de/wp-content/uploads/2021/12/feigl19b.png?w=222)
Sick Moves! Motion Parameters as Indicators of Simulator Sickness Journal Article
In: Trans. on Visualization and Computer Graphics (TVCG), vol. 25, no. 11, pp. 3146–3157, 2019.
![UWB Channel Impulse Responses for Positioning in Complex Environments: A Detailed Feature Analysis](https://i0.wp.com/www.tobiasfeigl.de/wp-content/uploads/2021/12/feigl19c.png?w=222)
UWB Channel Impulse Responses for Positioning in Complex Environments: A Detailed Feature Analysis Journal Article
In: Sensors J., vol. 24, no. 5547, pp. 1–26, 2019.
![A Framework for Location-Based VR Applications](https://i0.wp.com/www.tobiasfeigl.de/wp-content/uploads/2021/12/feigl19d.png?w=222)
A Framework for Location-Based VR Applications Inproceedings
In: Virtuelle und Erweiterte Realitat: 16. Workshop der GI-Fachgruppe VR/AR (Berichte aus der Informatik), pp. 148–159, Fulda, Germany, 2019.
![A Social Interaction Interface Supporting Affective Augmentation Based on Neuronal Data](https://i0.wp.com/www.tobiasfeigl.de/wp-content/uploads/2021/12/feigl19f.png?w=222)
A Social Interaction Interface Supporting Affective Augmentation Based on Neuronal Data Inproceedings
In: Proc. Symp. on Spatial User Interaction (SUI), pp. 1–4, New Orleans, USA, 2019.
![Brain 2 Communicate: EEG-based Affect Recognition to Augment Virtual Social Interactions](https://i0.wp.com/www.tobiasfeigl.de/wp-content/uploads/2021/12/feigl19g.png?w=222)
Brain 2 Communicate: EEG-based Affect Recognition to Augment Virtual Social Interactions Inproceedings
In: Mensch und Computer - Workshopband, pp. 564–565, Hamburg, Germany, 2019.
![Method for Setting a Viewing Direction in a Representation of a Virtual Environment](https://i0.wp.com/www.tobiasfeigl.de/wp-content/uploads/2021/12/pat1ep.png?w=222)
Method for Setting a Viewing Direction in a Representation of a Virtual Environment Miscellaneous
EP3458935, 2019, (European Patent Office).
![Method for Setting a Viewing Direction in a Representation of a Virtual Environment](https://i0.wp.com/www.tobiasfeigl.de/wp-content/uploads/2021/12/pat1us.png?w=222)
Method for Setting a Viewing Direction in a Representation of a Virtual Environment Miscellaneous
US243321209, 2019, (United States of America Patent Office).
![Method for Setting a Viewing Direction in a Representation of a Virtual Environment](https://i0.wp.com/www.tobiasfeigl.de/wp-content/uploads/2021/12/pat1cn.png?w=222)
Method for Setting a Viewing Direction in a Representation of a Virtual Environment Miscellaneous
CN237677091, 2019, (Chinese Patent Office).
![Apparatuses and Methods for Correcting Orientation Information from one or more Inertial Sensors](https://i0.wp.com/www.tobiasfeigl.de/wp-content/uploads/2021/12/pat2cn.png?w=222)
Apparatuses and Methods for Correcting Orientation Information from one or more Inertial Sensors Miscellaneous
CN250178436, 2019, (Chinese Patent Office).
![Apparatuses and Methods for Correcting Orientation Information from one or more Inertial Sensors](https://i0.wp.com/www.tobiasfeigl.de/wp-content/uploads/2021/12/pat2us-1.png?w=222)
Apparatuses and Methods for Correcting Orientation Information from one or more Inertial Sensors Miscellaneous
US20190346280, 2019, (United States of America Patent Office).
![Apparatuses and Methods for Correcting Orientation Information from one or more Inertial Sensors](https://i0.wp.com/www.tobiasfeigl.de/wp-content/uploads/2021/12/pat2ep.png?w=222)
Apparatuses and Methods for Correcting Orientation Information from one or more Inertial Sensors Miscellaneous
EP3568801, 2019, (European Patent Office).
![Method to Determine a Present Position of an Object, Positioning System, Tracker and Computer Program](https://i0.wp.com/www.tobiasfeigl.de/wp-content/uploads/2021/12/pat3wo.png?w=222)
Method to Determine a Present Position of an Object, Positioning System, Tracker and Computer Program Miscellaneous
WO/2019/114925, 2019, (Patent Cooperation Treaty).
![Method for Predicting a Motion of an Object, Method for Calibrating a Motion Model, Method for Deriving a Predefined Quantity and Method for Generating a Virtual Reality View](https://i0.wp.com/www.tobiasfeigl.de/wp-content/uploads/2021/12/pat4wo.png?w=222)
Method for Predicting a Motion of an Object, Method for Calibrating a Motion Model, Method for Deriving a Predefined Quantity and Method for Generating a Virtual Reality View Miscellaneous
WO/2019/129355, 2019, (Patent Cooperation Treaty).
![Vorrichtung und Verfahren zur Effizienten Zustandsbestimmung und Lokalisierung zwischen mobilen Plattformen](https://i0.wp.com/www.tobiasfeigl.de/wp-content/uploads/2021/12/pat5wo-1.png?w=222)
Vorrichtung und Verfahren zur Effizienten Zustandsbestimmung und Lokalisierung zwischen mobilen Plattformen Miscellaneous
WO/2019/197006, 2019, (Patent Cooperation Treaty).
![ViPR: Visual-Odometry-aided Pose Regression for 6DoF Camera Localization](https://i0.wp.com/www.tobiasfeigl.de/wp-content/uploads/2021/12/feigl19e.png?w=222)
ViPR: Visual-Odometry-aided Pose Regression for 6DoF Camera Localization Inproceedings
In: arXiv:1912.08263 [cs.CV], pp. 1–12, 2019.
2018
![Head-to-Body-Pose Classification in No-Pose VR Tracking Systems](https://i0.wp.com/www.tobiasfeigl.de/wp-content/uploads/2021/12/feigl18a.png?w=222)
Head-to-Body-Pose Classification in No-Pose VR Tracking Systems Inproceedings
In: Proc. Intl. Conf. Virtual Reality and 3D User Interfaces (IEEE VR), pp. 545–546, Tuebingen/Reutlingen, Germany, 2018.
![Human Compensation Strategies for Orientation Drifts](https://i0.wp.com/www.tobiasfeigl.de/wp-content/uploads/2021/12/feigl18b.png?w=222)
Human Compensation Strategies for Orientation Drifts Inproceedings
In: Proc. Intl. Conf. Virtual Reality and 3D User Interfaces (IEEE VR), pp. 409–414, Tuebingen/Reutlingen, Germany, 2018.
![Supervised Learning for Yaw Orientation Estimation](https://i0.wp.com/www.tobiasfeigl.de/wp-content/uploads/2021/12/feigl18c.png?w=222)
Supervised Learning for Yaw Orientation Estimation Inproceedings
In: Proc. Intl. Conf. Indoor Positioning and Indoor Navigation (IPIN), pp. 1–10, Nantes, France, 2018.
![Recurrent Neural Networks on Drifting Time-of-Flight Measurements](https://i0.wp.com/www.tobiasfeigl.de/wp-content/uploads/2021/12/feigl18d.png?w=222)
Recurrent Neural Networks on Drifting Time-of-Flight Measurements Inproceedings
In: Proc. Intl. Conf. Indoor Positioning and Indoor Navigation (IPIN), pp. 1–10, Nantes, France, 2018.
![A Location-Based VR Museum](https://i0.wp.com/www.tobiasfeigl.de/wp-content/uploads/2021/12/feigl18e.png?w=222)
A Location-Based VR Museum Inproceedings
In: Proc. Intl. Conf. Virtual Worlds for Serious Applications (VS-Games), pp. 1–12, Würzburg, Germany, 2018.
![Beyond Replication: Augmenting Social Behaviors in Multi-User Social Virtual Realities](https://i0.wp.com/www.tobiasfeigl.de/wp-content/uploads/2021/12/feigl18f.png?w=222)
Beyond Replication: Augmenting Social Behaviors in Multi-User Social Virtual Realities Inproceedings
In: Proc. Conf. Virtual Reality and 3D User Interfaces (IEEE VR), pp. 215–222, Tuebingen/Reutlingen, Germany, 2018.
![Vorrichtung und Verfahren zur Effizienten Zustandsbestimmung und Lokalisierung zwischen mobilen Plattformen](https://i0.wp.com/www.tobiasfeigl.de/wp-content/uploads/2021/12/pat2de.png?w=222)
Vorrichtung und Verfahren zur Effizienten Zustandsbestimmung und Lokalisierung zwischen mobilen Plattformen Miscellaneous
DE223815006, 2018, (Deutsches Patent- und Markenamt (DPMA)).
![Apparatuses and Methods for Correcting Orientation Information from one or more Inertial Sensors](https://i0.wp.com/www.tobiasfeigl.de/wp-content/uploads/2021/12/pat2wo.png?w=222)
Apparatuses and Methods for Correcting Orientation Information from one or more Inertial Sensors Miscellaneous
WO/2018/130446, 2018, (Patent Cooperation Treaty).
2017
![Acoustical manipulation for redirected walking](https://i0.wp.com/www.tobiasfeigl.de/wp-content/uploads/2021/12/feigl17a-2.png?w=222)
Acoustical manipulation for redirected walking Inproceedings
In: Proc. Intl. Symp. on Virtual Reality Software and Technology (VRST), pp. 45:1–45:2, Gothenburg, Sweden, 2017.
![Social Augmentations in Multi-User Virtual Reality: A Virtual Museum Experience](https://i0.wp.com/www.tobiasfeigl.de/wp-content/uploads/2021/12/feigl17b.png?w=222)
Social Augmentations in Multi-User Virtual Reality: A Virtual Museum Experience Inproceedings
In: Proc. Intl. Symp. on Mixed and Augmented Reality (ISMAR), pp. 42–43, Nantes, France, 2017.
![Verfahren zum Einstellen einer Blickrichtung in einer Darstellung einer virtuellen Umgebung](https://i0.wp.com/www.tobiasfeigl.de/wp-content/uploads/2021/12/pat1a-2.png?w=222)
Verfahren zum Einstellen einer Blickrichtung in einer Darstellung einer virtuellen Umgebung Miscellaneous
DE206581508, 2017, (Deutsches Patent- und Markenamt (DPMA)).
![Method for Setting a Viewing Direction in a Representation of a Virtual Environment](https://i0.wp.com/www.tobiasfeigl.de/wp-content/uploads/2021/12/pat1b-1.png?w=222)
Method for Setting a Viewing Direction in a Representation of a Virtual Environment Miscellaneous
WO/2017/198441, 2017, (Patent Cooperation Treaty).
Theses (supervised)
2021
![Datengetriebene Methoden zur Bestimmung von Position und Orientierung in funk‐ und trägheitsbasierter Koppelnavigation](https://i0.wp.com/www.tobiasfeigl.de/wp-content/uploads/2021/12/feigl21b-1.png?w=222)
Datengetriebene Methoden zur Bestimmung von Position und Orientierung in funk‐ und trägheitsbasierter Koppelnavigation PhD Thesis
Friedrich-Alexander-Universität Erlangen-Nürnberg, 2021.
![Einfluss verschiedener Inertial- und Funksensordaten auf die Posenschätzung von Menschen mittels Rekurrenter Neuronaler Netze](https://i0.wp.com/www.tobiasfeigl.de/wp-content/uploads/2021/12/Porada21.png?w=222)
Einfluss verschiedener Inertial- und Funksensordaten auf die Posenschätzung von Menschen mittels Rekurrenter Neuronaler Netze Masters Thesis
Technische Hochschule Nürnberg (TH), 2021.
2020
![Radio Localization to Enable Robust People Tracking in High-Resolution Images](https://i0.wp.com/www.tobiasfeigl.de/wp-content/uploads/2021/12/Mehltretter.png?w=222)
Radio Localization to Enable Robust People Tracking in High-Resolution Images Bachelor Thesis
Friedrich-Alexander-University Erlangen-Nuremberg (FAU), 2020.
![Einfluss verschiedener Inertial- und Funksensordaten auf die Posenschätzung von Menschen mittels Rekurrenter Neuronaler Netze](https://i0.wp.com/www.tobiasfeigl.de/wp-content/uploads/2021/12/BauerP.png?w=222)
Einfluss verschiedener Inertial- und Funksensordaten auf die Posenschätzung von Menschen mittels Rekurrenter Neuronaler Netze Masters Thesis
Technische Hochschule Nürnberg (TH), 2020.
2019
![Application of Deep Learning Methods to Process Natural Phenomena](https://i0.wp.com/www.tobiasfeigl.de/wp-content/uploads/2021/12/Altstidl.png?w=222)
Application of Deep Learning Methods to Process Natural Phenomena Bachelor Thesis
Friedrich-Alexander-University Erlangen-Nuremberg (FAU), 2019.
![Feature Extraction of a Radio Frequency based Localization System Using Beta-VAE](https://i0.wp.com/www.tobiasfeigl.de/wp-content/uploads/2021/12/Herrmann.png?w=222)
Feature Extraction of a Radio Frequency based Localization System Using Beta-VAE Bachelor Thesis
Friedrich-Alexander-University Erlangen-Nuremberg (FAU), 2019.
![How far is far? Evaluation, Visualization, and Interpretation of RNNs on Physically Correct Movements](https://i0.wp.com/www.tobiasfeigl.de/wp-content/uploads/2021/12/Schmidt.png?w=222)
How far is far? Evaluation, Visualization, and Interpretation of RNNs on Physically Correct Movements Masters Thesis
Friedrich-Alexander-University Erlangen-Nuremberg (FAU), 2019.
![Komplementieren Relativer und Absoluter Eigenlokalisierungsverfahren](https://i0.wp.com/www.tobiasfeigl.de/wp-content/uploads/2021/12/Ott.png?w=222)
Komplementieren Relativer und Absoluter Eigenlokalisierungsverfahren Masters Thesis
Friedrich-Alexander-University Erlangen-Nuremberg (FAU), 2019.
![Avatar Synchronisation zur Analyse von Bewegungswahrnehmung der unteren Extremitäten in VR](https://i0.wp.com/www.tobiasfeigl.de/wp-content/uploads/2021/12/Gruner.png?w=222)
Avatar Synchronisation zur Analyse von Bewegungswahrnehmung der unteren Extremitäten in VR Bachelor Thesis
Technische Hochschule Nürnberg (TH), 2019.
![Eine explorative Untersuchung zu Textverständnis und Lerneffekt im Medium Virtuelle Realität - Lohnt sich der Implementierungsaufwand für die Anwendung im Fraunhofer IIS?](https://i0.wp.com/www.tobiasfeigl.de/wp-content/uploads/2021/12/Otte.png?w=222)
Eine explorative Untersuchung zu Textverständnis und Lerneffekt im Medium Virtuelle Realität - Lohnt sich der Implementierungsaufwand für die Anwendung im Fraunhofer IIS? Bachelor Thesis
Technische Hochschule Nürnberg (TH), 2019.
![Evaluation of Distributed Neural Networks for Indoor Radio Positioning Utilizing Efficient Embedded Hardware](https://i0.wp.com/www.tobiasfeigl.de/wp-content/uploads/2021/12/BauerJ.png?w=222)
Evaluation of Distributed Neural Networks for Indoor Radio Positioning Utilizing Efficient Embedded Hardware Masters Thesis
Friedrich-Alexander-University Erlangen-Nuremberg (FAU), 2019.
2018
![Analyse und Evaluierung aktueller MR Tracking Systeme am Beispiel ARKit](https://i0.wp.com/www.tobiasfeigl.de/wp-content/uploads/2021/12/Porada18.png?w=222)
Analyse und Evaluierung aktueller MR Tracking Systeme am Beispiel ARKit Bachelor Thesis
Georg-Simon-Ohm Hochschule Nürnberg (GSOHM), 2018.
![Einfluss dynamischer Objekttransformationen auf die Bewegungswahrnehmung in VR](https://i0.wp.com/www.tobiasfeigl.de/wp-content/uploads/2021/12/Gruber.png?w=222)
Einfluss dynamischer Objekttransformationen auf die Bewegungswahrnehmung in VR Bachelor Thesis
Technische Hochschule Nürnberg (TH), 2018.
![Robustes Inside-Out Tracking für großflächige Mehrnutzer VR Systeme](https://i0.wp.com/www.tobiasfeigl.de/wp-content/uploads/2021/12/Daxer.png?w=222)
Robustes Inside-Out Tracking für großflächige Mehrnutzer VR Systeme Masters Thesis
Technische Hochschule Nürnberg (TH), 2018.
![Robuste Posenschätzung durch Identifikation von Kalibriermomenten mittels Maschine Learning](https://i0.wp.com/www.tobiasfeigl.de/wp-content/uploads/2021/12/Brendel.png?w=222)
Robuste Posenschätzung durch Identifikation von Kalibriermomenten mittels Maschine Learning Masters Thesis
Technische Hochschule Nürnberg (TH), 2018.
![Virtual-Reality-optimierte Sensor Fusion für eine langzeitstabile Gestenerkennung der oberen Extremität](https://i0.wp.com/www.tobiasfeigl.de/wp-content/uploads/2021/12/Jakob.png?w=222)
Virtual-Reality-optimierte Sensor Fusion für eine langzeitstabile Gestenerkennung der oberen Extremität Masters Thesis
Technische Hochschule Nürnberg (TH), 2018.
Misc (open source)
"passionated reverse engineer"
ID | Name | Frameworks | Link |
1 | softCam monitor | c++, obj-c, cocoa, uikit, macOS | – |
2 | syncbox | c++, obj-c, c#, qt, macOS | – |
3 | eyetvCamd | c++, obj-c, cocoa, uikit, macOS | – |
4 | iDirstat | c++, obj-c, qt, macOS | – |
5 | OSCam | c++, macOS | – |
6 | nicehash | c++, macOS | – |
7 | imakeconfiles | c++, obj-c, python, qt, pyQt, macOS | – |
8 | GPStrackr | obj-c, cocoa, uikit, iOS | – |
9 | showandhide | obj-c, macOS | – |
10 | airdrop activator | obj-c, macOS | – |
11 | vpn auto connect | c++, macOS, win | – |
12 | smartcardlib | c++, Arduino | – |
13 | reverserflib | c++, Arduino | – |
– |