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2020 – today
- 2022
[b1]Benjamin H. Groh:
IMMU-based Orientation Determination in Sports Analytics: Kinematic Analysis and Performance Interpretation. University of Erlangen-Nuremberg, Germany, 2022, ISBN 978-3-96147-485-1, pp. 1-187
2010 – 2019
- 2018
- [c13]Benjamin H. Groh, Julian Fritz, Martin Deininger, Hermann Schwameder
, Björn M. Eskofier:
Unobtrusive and wearable landing momentum estimation in Ski jumping with inertial-magnetic sensors. BSN 2018: 102-105 - [c12]Markus Zrenner, Martin Ullrich, Pascal Zobel, Ulf Jensen, Felix Laser, Benjamin H. Groh, Burkhard Dümler, Björn M. Eskofier:
Kinematic parameter evaluation for the purpose of a wearable running shoe recommendation. BSN 2018: 106-109 - 2017
- [j4]Thomas Kautz, Benjamin H. Groh, Julius Hannink, Ulf Jensen, Holger Strubberg, Björn M. Eskofier:
Activity recognition in beach volleyball using a Deep Convolutional Neural Network - Leveraging the potential of Deep Learning in sports. Data Min. Knowl. Discov. 31(6): 1678-1705 (2017) - [j3]Benjamin H. Groh, Frank Warschun, Martin Deininger, Thomas Kautz, Christine Martindale, Björn M. Eskofier:
Automated Ski Velocity and Jump Length Determination in Ski Jumping Based on Unobtrusive and Wearable Sensors. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1(3): 53:1-53:17 (2017) - [j2]Benjamin H. Groh, Martin Fleckenstein, Thomas Kautz, Björn M. Eskofier:
Classification and visualization of skateboard tricks using wearable sensors. Pervasive Mob. Comput. 40: 42-55 (2017) - [c11]Peter Blank, Benjamin H. Groh, Björn M. Eskofier:
Ball speed and spin estimation in table tennis using a racket-mounted inertial sensor. ISWC 2017: 2-9 - 2016
- [j1]Benjamin H. Groh, Jasmin Flaschka, Markus Wirth, Thomas Kautz, Martin Fleckenstein, Björn M. Eskofier:
Wearable Real-Time Skateboard Trick Visualization and Its Community Perception. IEEE Computer Graphics and Applications 36(5): 12-18 (2016) - [c10]Benjamin H. Groh, Martin Fleckenstein, Björn M. Eskofier:
Wearable trick classification in freestyle snowboarding. BSN 2016: 89-93 - [c9]Robert Richer, Benjamin H. Groh, Peter Blank, Eva Dorschky, Christine Martindale, Jochen Klucken, Björn M. Eskofier:
Unobtrusive real-time heart rate variability analysis for the detection of orthostatic dysregulation. BSN 2016: 189-193 - [c8]Maximilian P. Reymann, Eva Dorschky, Benjamin H. Groh, Christine Martindale, Peter Blank, Björn M. Eskofier:
Blood glucose level prediction based on support vector regression using mobile platforms. EMBC 2016: 2990-2993 - [c7]Thomas Kautz, Benjamin H. Groh, Björn M. Eskofier:
Augmented motion models for constrained position tracking with Kalman filters. FUSION 2016: 849-854 - [c6]Christine F. Martindale, Markus Wirth, Stefan Schneegass, Markus Zrenner, Benjamin H. Groh, Peter Blank, Dominik Schuldhaus, Thomas Kautz, Björn M. Eskofier:
Workshop on wearables for sports. UbiComp Adjunct 2016: 877-880 - [c5]Rimon Saffoury, Peter Blank, Julian Sessner, Benjamin H. Groh, Christine F. Martindale, Eva Dorschky, Jörg Franke, Björn M. Eskofier:
Blind path obstacle detector using smartphone camera and line laser emitter. TISHW 2016: 1:1-1:7 - 2015
- [c4]Benjamin H. Groh, Tobias Cibis, Ralph O. Schill, Björn M. Eskofier:
IMU-based pose determination of scuba divers' bodies and shanks. BSN 2015: 1-6 - [c3]Tobias Cibis, Benjamin H. Groh, Heike Gatermann, Heike Leutheuser, Björn M. Eskofier:
Wearable real-time ecg monitoring with emergency alert system for scuba diving. EMBC 2015: 6074-6077 - 2014
- [c2]Benjamin H. Groh, Martin Friedl, André Guilherme Linarth, Elli Angelopoulou:
Advanced real-time indoor parking localization based on semi-static objects. FUSION 2014: 1-7 - [c1]Benjamin H. Groh, Samuel J. Reinfelder, Markus N. Streicher, Adib Taraben, Bjoern M. Eskofier:
Movement prediction in rowing using a Dynamic Time Warping based stroke detection. ISSNIP 2014: 1-6
Coauthor Index
aka: Bjoern M. Eskofier
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