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Human-inspired balance model to account for foot-beam interaction mechanics.

, , , , , и . ICRA, стр. 1969-1974. IEEE, (2019)

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Prof. Dr. Martin Giese

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Martin A Guggisberg

 

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Hooligan detection: The effects of saliency and expert knowledge., , , и . ICDP, стр. 1-6. IET / IEEE, (2011)Hierarchical Deep Gaussian Processes Latent Variable Model via Expectation Propagation., и . ICANN (3), том 12893 из Lecture Notes in Computer Science, стр. 317-329. Springer, (2021)Early Recognition of Ball Catching Success in Clinical Trials with RNN-Based Predictive Classification., , , , и . ICANN (4), том 12894 из Lecture Notes in Computer Science, стр. 444-456. Springer, (2021)Human-inspired balance model to account for foot-beam interaction mechanics., , , , , и . ICRA, стр. 1969-1974. IEEE, (2019)Biologically Plausible Neural Model for the Recognition of Biological Motion and Actions, и . AI Memo 2002-012. Massachusetts Institute of Technology, Cambridge, MA, (2002)Real-time Control of Whole-body Robot Motion and Trajectory Generation for Physiotherapeutic Juggling in VR., , , , , , и . IROS, стр. 270-277. IEEE, (2018)Neural Mechanisms for the Recogniton of Biological Movements, и . Nature Reviews Neuroscience, (2003)Continuous Decoding of Daily-Life Hand Movements from Forearm Muscle Activity for Enhanced Myoelectric Control of Hand Prostheses., и . IJCNN, стр. 1-8. IEEE, (2021)Physiologically-Inspired Neural Circuits for the Recognition of Dynamic Faces., , , , , , , и . ICANN (1), том 12396 из Lecture Notes in Computer Science, стр. 168-179. Springer, (2020)Reactive Hand Movements from Arm Kinematics and EMG Signals Based on Hierarchical Gaussian Process Dynamical Models., , , , и . ICANN (1), том 12396 из Lecture Notes in Computer Science, стр. 127-140. Springer, (2020)