Empatho-Kinaesthetic Sensor Technology (SFB 1483 EmpkinS)

Third Party Funds Group - Overall project


Acronym: SFB 1483 EmpkinS

Start date : 01.07.2021

End date : 30.06.2025

Website: https://empkins.de/

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Types of publications

Journal article
Book chapter / Article in edited volumes
Authored book
Translation
Thesis
Edited Volume
Conference contribution
Other publication type
Unpublished / Preprint

Publication year

From
To

Abstract

Journal

"Prüft aber alles und das Gute behaltet!" Theologisches und Ethisches zu Künstlicher Intelligenz (2022) Dabrock P Journal article, Original article Diffused responsibility: attributions of responsibility in the use of AI-driven clinical decision support systems (2022) Bleher H, Braun M Journal article, Original article How many sensors are enough? Trajectory optimization using sparse inertial sensor sets (2022) Nitschke M, Mayer M, Dorschky E, Koelewijn A Conference contribution, Abstract of lecture What should a metabolic energy model look like? Sensitivity of metabolic energy model parameters during gait (2022) Gambietz M, Nitschke M, Miehling J, Koelewijn A Conference contribution, Abstract of a poster Evaluation of Orthostatic Reactions in Real-World Environments Using Wearable Sensors (2021) Happold J, Richer R, Küderle A, Gaßner H, Klucken J, Eskofier B, Kluge F Conference contribution, Original article Data Justice and Data Solidarity (2021) Braun M, Hummel P Journal article Applicability and Performance of Standard Compression Methods for Efficient Data Transmission and Storage in Radar Networks (2021) Körner G, Hoffmann M, Stief P, Zhang M, Rückert R, Herglotz C, Kaup A, Vossiek M Journal article, Original article Resource Allocation for Simultaneous Wireless Information and Power Transfer Systems: A Tutorial Overview (2021) Wei Z, Yu X, Ng DWK, Schober R Journal article, Original article BioPsyKit: A Python package for the analysis of biopsychological data (2021) Richer R, Küderle A, Ullrich M, Rohleder N, Eskofier B Journal article, Original article Detection of unsupervised standardized gait tests from real-world inertial sensor data in Parkinson’s disease (2021) Ullrich M, Mücke A, Küderle A, Roth N, Gladow T, Gaßner H, Marxreiter F, et al. Journal article, Original article
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