Breathing Life Into Biomechanical User Models

Author:

Ikkala Aleksi1,Fischer Florian2,Klar Markus2,Bachinski Miroslav3,Fleig Arthur2,Howes Andrew4,Hämäläinen Perttu1,Müller Jörg2,Murray-Smith Roderick5,Oulasvirta Antti1

Affiliation:

1. Aalto University, Finland

2. University of Bayreuth, Germany

3. University of Bergen, Norway and University of Bayreuth, Germany

4. University of Birmingham, United Kingdom

5. University of Glasgow, United Kingdom

Publisher

ACM

Reference80 articles.

1. Christian Arzate Cruz and Takeo Igarashi . 2020. A Survey on Interactive Reinforcement Learning: Design Principles and Open Challenges . Association for Computing Machinery , New York, NY, USA , 1195–1209. https://doi.org/10.1145/3357236.3395525 10.1145/3357236.3395525 Christian Arzate Cruz and Takeo Igarashi. 2020. A Survey on Interactive Reinforcement Learning: Design Principles and Open Challenges. Association for Computing Machinery, New York, NY, USA, 1195–1209. https://doi.org/10.1145/3357236.3395525

2. A Biomechanical Model for the Upper Extremity using Optimization Techniques;Ayoub A.;Human Factors,1974

3. Amin Babadi , Michiel Van de Panne , Caren Liu, and Perttu Hämäläinen. 2021 . Learning Task-Agnostic Action Spaces for Movement Optimization. IEEE Transactions on Visualization and Computer Graphics ( 2021), 1–1. https://doi.org/10.1109/TVCG.2021.3100095 10.1109/TVCG.2021.3100095 Amin Babadi, Michiel Van de Panne, Caren Liu, and Perttu Hämäläinen. 2021. Learning Task-Agnostic Action Spaces for Movement Optimization. IEEE Transactions on Visualization and Computer Graphics (2021), 1–1. https://doi.org/10.1109/TVCG.2021.3100095

4. Is motion capture-based biomechanical simulation valid for HCI studies?

5. Performance and Ergonomics of Touch Surfaces

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