Hasil Pencarian - Bjoern M Eskofier

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  1. 1
    Data mining in the U.S. National Toxicology Program (NTP) database reveals a potential bias regarding liver tumors in rodents irrespective of the test agent.

    Data mining in the U.S. National Toxicology Program (NTP) database reveals a potential bias regarding liver tumors in rodents irrespective of the test agent. oleh Matthias Ring, Bjoern M Eskofier

    Diterbitkan 2015-01-01
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  2. 2
    Guest Editorial Introduction to the Special Section on Invisible Sensing: Radar-Based Biomonitoring

    Guest Editorial Introduction to the Special Section on Invisible Sensing: Radar-Based Biomonitoring oleh Bjoern M. Eskofier, Martin Vossiek

    Diterbitkan 2024-01-01
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  3. 3
    A Robust Kalman Framework with Resampling and Optimal Smoothing

    A Robust Kalman Framework with Resampling and Optimal Smoothing oleh Thomas Kautz, Bjoern M. Eskofier

    Diterbitkan 2015-02-01
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  4. 4
    Estimating 3D kinematics and kinetics from virtual inertial sensor data through musculoskeletal movement simulations

    Estimating 3D kinematics and kinetics from virtual inertial sensor data through musculoskeletal movement simulations oleh Marlies Nitschke, Eva Dorschky, Sigrid Leyendecker, Bjoern M. Eskofier, Bjoern M. Eskofier, Anne D. Koelewijn

    Diterbitkan 2024-04-01
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  5. 5
    Special Issue on Wearable Computing and Machine Learning for Applications in Sports, Health, and Medical Engineering

    Special Issue on Wearable Computing and Machine Learning for Applications in Sports, Health, and Medical Engineering oleh Sunghoon I. Lee, Bjoern M. Eskofier

    Diterbitkan 2018-01-01
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  6. 6
    Experimental Validation of Real-Time Ski Jumping Tracking System Based on Wearable Sensors

    Experimental Validation of Real-Time Ski Jumping Tracking System Based on Wearable Sensors oleh Johannes Link, Sébastien Guillaume, Bjoern M. Eskofier

    Diterbitkan 2021-11-01
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  7. 7
    Hierarchical, multi-sensor based classification of daily life activities: comparison with state-of-the-art algorithms using a benchmark dataset.

    Hierarchical, multi-sensor based classification of daily life activities: comparison with state-of-the-art algorithms using a benchmark dataset. oleh Heike Leutheuser, Dominik Schuldhaus, Bjoern M Eskofier

    Diterbitkan 2013-01-01
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  8. 8
    Assessing the Performance of Remaining Time Prediction Methods for Business Processes

    Assessing the Performance of Remaining Time Prediction Methods for Business Processes oleh Johannes Roider, An Nguyen, Dario Zanca, Bjoern M. Eskofier

    Diterbitkan 2024-01-01
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  9. 9
    Hidden Markov Model-Based Smart Annotation for Benchmark Cyclic Activity Recognition Database Using Wearables

    Hidden Markov Model-Based Smart Annotation for Benchmark Cyclic Activity Recognition Database Using Wearables oleh Christine F. Martindale, Sebastijan Sprager, Bjoern M. Eskofier

    Diterbitkan 2019-04-01
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  10. 10
    Validation of the Virtual Reality Stroop Room: Effects of inhibiting interfering information under time-pressure and task-switching demands

    Validation of the Virtual Reality Stroop Room: Effects of inhibiting interfering information under time-pressure and task-switching demands oleh Veronika Ringgold, Luca Abel, Bjoern M. Eskofier, Nicolas Rohleder

    Diterbitkan 2024-12-01
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  11. 11
    Human Activity Recognition Using Binary Sensors, BLE Beacons, an Intelligent Floor and Acceleration Data: A Machine Learning Approach

    Human Activity Recognition Using Binary Sensors, BLE Beacons, an Intelligent Floor and Acceleration Data: A Machine Learning Approach oleh Jesús D. Cerón, Diego M. López, Bjoern M. Eskofier

    Diterbitkan 2018-10-01
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  12. 12
    A New Labeling Approach for Proportional Electromyographic Control

    A New Labeling Approach for Proportional Electromyographic Control oleh Annette Hagengruber, Ulrike Leipscher, Bjoern M. Eskofier, Jörn Vogel

    Diterbitkan 2022-02-01
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  13. 13
    Wearable Sensors for Activity Recognition in Ultimate Frisbee Using Convolutional Neural Networks and Transfer Learning

    Wearable Sensors for Activity Recognition in Ultimate Frisbee Using Convolutional Neural Networks and Transfer Learning oleh Johannes Link, Timur Perst, Maike Stoeve, Bjoern M. Eskofier

    Diterbitkan 2022-03-01
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  14. 14
    Exploring Smart Agents for the Interaction with Multimodal Mediated Environments

    Exploring Smart Agents for the Interaction with Multimodal Mediated Environments oleh Robert Richer, Nan Zhao, Bjoern M. Eskofier, Joseph A. Paradiso

    Diterbitkan 2020-06-01
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  15. 15
    Smart Annotation of Cyclic Data Using Hierarchical Hidden Markov Models

    Smart Annotation of Cyclic Data Using Hierarchical Hidden Markov Models oleh Christine F. Martindale, Florian Hoenig, Christina Strohrmann, Bjoern M. Eskofier

    Diterbitkan 2017-10-01
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  16. 16
    xLength: Predicting Expected Ski Jump Length Shortly after Take-Off Using Deep Learning

    xLength: Predicting Expected Ski Jump Length Shortly after Take-Off Using Deep Learning oleh Johannes Link, Leo Schwinn, Falk Pulsmeyer, Thomas Kautz, Bjoern M. Eskofier

    Diterbitkan 2022-11-01
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  17. 17
    Vagus activation by Cold Face Test reduces acute psychosocial stress responses

    Vagus activation by Cold Face Test reduces acute psychosocial stress responses oleh Robert Richer, Janis Zenkner, Arne Küderle, Nicolas Rohleder, Bjoern M. Eskofier

    Diterbitkan 2022-11-01
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  18. 18
    From the Laboratory to the Field: IMU-Based Shot and Pass Detection in Football Training and Game Scenarios Using Deep Learning

    From the Laboratory to the Field: IMU-Based Shot and Pass Detection in Football Training and Game Scenarios Using Deep Learning oleh Maike Stoeve, Dominik Schuldhaus, Axel Gamp, Constantin Zwick, Bjoern M. Eskofier

    Diterbitkan 2021-04-01
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  19. 19
    Comparison of Different Algorithms for Calculating Velocity and Stride Length in Running Using Inertial Measurement Units

    Comparison of Different Algorithms for Calculating Velocity and Stride Length in Running Using Inertial Measurement Units oleh Markus Zrenner, Stefan Gradl, Ulf Jensen, Martin Ullrich, Bjoern M. Eskofier

    Diterbitkan 2018-11-01
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  20. 20
    Framework for Simultaneous Indoor Localization, Mapping, and Human Activity Recognition in Ambient Assisted Living Scenarios

    Framework for Simultaneous Indoor Localization, Mapping, and Human Activity Recognition in Ambient Assisted Living Scenarios oleh Jesus D. Ceron, Diego M. López, Felix Kluge, Bjoern M. Eskofier

    Diterbitkan 2022-04-01
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